A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 

I

i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy
 
i - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task
First offset.
iconcache - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon
 
ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
Used for id assignment.
id - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature
Object ID
id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair
The DB id.
id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
The actual object ID.
id - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
The actual value.
id - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle
Object ID
id - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry
Holds the id of the object (node or data object) represented by this entry.
id - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry
Holds the id of the object (node or data object) represented by this entry.
id - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation
Object represented by this approximation
id - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
The unique id if this page.
id - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild
The ID.
id - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceByID
ID of element to replace.
id - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy
Segment we are attached to
id1 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
The id of the first routing object.
id2 - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments
The id of the second routing object.
ID_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer
Parameter that specifies the object ID pattern Key: -externaloutlier.idpattern
Default: ^ID=
ID_PATTERN_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore
The default pattern for matching ID lines.
identity(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Generate identity matrix
identity(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath
Generate identity matrix
IDENTITYADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Static instance.
identityAdapter(T) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil
Get the static instance.
IdentityArrayAdapter<T> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike
Single-item subset adapter Use the static instance from ArrayLikeUtil!
IdentityArrayAdapter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IdentityArrayAdapter
Constructor.
IdentityScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling
The trivial "identity" scaling function.
IdentityScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.IdentityScaling
 
idf - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
The IDF storage.
idim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS
Intrinsic dimensionality.
idim - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer
Intrinsic dimensionality.
IDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer
Intrinsic dimensionality.
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore
DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore
DBID to index map
idmap - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore
DBID to index map.
idmap - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix
Static mapping from DBIDs to indexes.
IDOS<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic
Intrinsic Dimensional Outlier Detection in High-Dimensional Data.
IDOS(DistanceFunction<? super O>, IntrinsicDimensionalityEstimator, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS
Constructor.
IDOS.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic
Parameterization class.
IDOS.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IDOS.Parameterizer
 
idpattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore
object id pattern
idpattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer
object id pattern
idrep - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
The DBID representation we use
idrep - Variable in class de.lmu.ifi.dbs.elki.database.ProxyDatabase
Our DBID representation
idrep - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
The DBID representation we use
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
Holds the ids of the objects associated with this interval.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Instance
DBIDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel
Neighbor ids.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance
DBIDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel
Neighbor ids.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter
IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult
The DBIDs in this result.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder
Cluster order.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance
IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance
IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance
IDs to process.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
The ids of the feature vectors this unit contains.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.ClusterCandidate
Objects contained in cluster.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature
Object ids.
ids - Variable in class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.DistanceEntry
DBIDs compared.
ids - Variable in class de.lmu.ifi.dbs.elki.data.Cluster
Cluster data.
ids - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
IDs of this database
ids - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
DBIDs
ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.DBIDView
The ids object
ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation
The DBIDs this is supposed to be defined for.
ids - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
The DBIDs this is supposed to be defined for.
ids - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
IDs of this database
ids - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle
DBIDs for these objects, but may be null.
ids - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap
 
ids - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix
The database IDs used
ids - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix
DBID range.
ids - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner
Array IDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner
Array IDs to process
ids - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromDataStore
Database IDs
ids - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
Object ID range.
ids - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
Object ID range.
ids - Variable in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy
Object IDs
IDSTART_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer
Optional parameter to specify the first object ID to use.
idview - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
The DBIDs we contain
IGNORE_CLASSES - Static variable in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord
Classes to ignore when finding the relevant caller.
imadsigma - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization
Stores the inverse median absolute deviation in each dimension.
images - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
The image cache.
img - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix
Our image
img - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
The actual image
imgfile - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix
The file we have written the image to
IMGFILEPREFIX - Static variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix
Prefix for filenames
importInteger(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Import and integer as DBID.
importInteger(int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Import and integer as DBID.
importInteger(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
 
in - Variable in class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection
The input stream to parse from.
in - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader
Input stream to read from
IN_TIES - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
Constant for "in ties list", for tied heaps.
inCircle(Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
Test whether a point is within the circumference circle.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK
Include query object in evaluation.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer
Include query object in evaluation.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance
Include query object in evaluation.
includeSelf - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer
Include query object in evaluation.
INCLUDESELF_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer
Parameter to include the query object.
INCLUDESELF_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer
Parameter to include the query object.
increaseEntries() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode
Increases the length of the entries array to entries.length + 1.
increaseSupport() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset
Increase the support of the itemset.
IncreasingVectorIter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter
Class to iterate over a number vector in decreasing order.
IncreasingVectorIter(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.IncreasingVectorIter
Constructor.
incRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractKNNQuery
Count extra refinements.
incRefinements(int) - Method in class de.lmu.ifi.dbs.elki.index.AbstractRefiningIndex.AbstractRangeQuery
Count extra refinements.
increment(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore
 
increment(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
 
increment(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore
 
increment(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
 
increment(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore
Increment the specified value with the specified id in this storage.
increment(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore
Increment a value.
increment() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
 
increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AtomicLongCounter
 
increment() - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter
Increment the counter.
increment(long) - Method in interface de.lmu.ifi.dbs.elki.logging.statistics.Counter
Increment the counter by i.
increment() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
 
increment(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.UnsynchronizedLongCounter
 
increment(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Increments a single element.
increment(double, double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram
Increment histogram by a double[].
increment(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
Put fresh data into the histogram (or into the cache)
increment(double, double) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram
Increment the histogram at a given position.
increment(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram
Increment the value of a bin.
increment(double, float) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
Put fresh data into the histogram (or into the cache)
increment(double, float) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatHistogram
Increment the histogram at a given position.
increment(double, float) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram
Increment the value of a bin.
increment(double, int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram
Increment histogram by a double[].
increment(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Put fresh data into the histogram (or into the cache)
increment(double, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntHistogram
Increment the histogram at a given position.
increment(double, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram
Increment the value of a bin.
increment(double, long[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram
Increment histogram by a double[].
increment(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
Put fresh data into the histogram (or into the cache)
increment(double, long) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongHistogram
Increment the histogram at a given position.
increment(double, long) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram
Increment the value of a bin.
increment(double, short) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
Put fresh data into the histogram (or into the cache)
increment(double, short) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortHistogram
Increment the histogram at a given position.
increment(double, short) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram
Increment the value of a bin.
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization
Redraw the visualization (maybe incremental).
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance
 
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance
 
incrementalRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance
 
incrementalRedraw() - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization
Request an update of the visualization.
incrementalUpdateMean(Vector, V, int, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans
Compute an incremental update for the mean.
incrementDiscarded() - Method in interface de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorInterfaceDynamic
Increment the number of elements discarded.
incrementDiscarded() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Increase number of discarded points
incrementIssuedQueries() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
 
incrementProcessed(AbstractProgress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Increment a progress (unless null).
incrementProcessed(Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress
Increment the processed counter.
incrementQueryTime(long) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
 
incrementRefinements() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
 
incrementScannedBytes(long) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
 
IndefiniteProgress - Class in de.lmu.ifi.dbs.elki.logging.progress
Progress class without a fixed destination value.
IndefiniteProgress(String, Logging) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress
Constructor with logging.
indent - Variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
 
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance
Instantiated index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS
Index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS.Parameterizer
Random projection index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition
Current position
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance
Index.
index - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance
Instantiated index.
index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
Representation index.
index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
Representation index.
index - Variable in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor
Representation index.
index - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance
Index we use
index - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Instance
Parent index
index - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
The actual index.
Index - Interface in de.lmu.ifi.dbs.elki.index
Interface defining the minimum requirements for all index classes.
index - Variable in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
Inverted index.
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.BreadthFirstEnumeration
The index storing the nodes.
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath
The index of this component in its parent.
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexKNNQuery
The index to use
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MetricalIndexRangeQuery
The index to use
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery
The index to use
index - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.DistanceEntry
The index of the entry in its parent's child array.
index(int, int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix
Indexing function for triangular matrix.
index(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure
Index into the serialized array.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap
Holds the indices in the heap of each element.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
Index, to map DBID to offset.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
Current positions of result and iterator.
index - Variable in class de.lmu.ifi.dbs.elki.utilities.xml.XMLNodeListIterator
Store the next node
INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
Generic tag to indicate the type of element.
INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
Generic tag to indicate the type of element.
INDEX - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
Generic tag to indicate the type of element.
INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase.Parameterizer
Parameter to specify the indexes to use.
INDEX_ID - Static variable in interface de.lmu.ifi.dbs.elki.distance.distancefunction.IndexBasedDistanceFunction
OptionID for the index parameter
INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
Parameter to specify the preprocessor to be used.
INDEX_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer
Option ID for the inner index to use.
IndexBasedDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Distance function relying on an index (such as preprocessed neighborhoods).
IndexBasedDistanceFunction.Instance<T,I extends Index> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction
Instance interface for Index based distance functions.
IndexBasedSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
Interface for preprocessor/index based similarity functions.
IndexBasedSimilarityFunction.Instance<T,I extends Index> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction
Instance interface for index/preprocessor based distance functions.
indexDense(DBIDRef, V) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
Index a single (dense) instance.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseByteVector
Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
Indexes of values.
indexes - Variable in class de.lmu.ifi.dbs.elki.data.SparseShortVector
Indexes of values.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask
Indexes to add.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer
Indexes to add.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.AbstractDatabase
Index factories.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer
Indexes to add.
indexFactories - Variable in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer
Indexes to add.
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO
Factory to produce
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer
Factory to produce
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC
Factory to produce
indexfactory - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer
Factory to produce the index.
indexFactory - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction
Parameter to specify the preprocessor to be used.
indexFactory - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
Parameter to specify the preprocessor to be used.
IndexFactory<V,I extends Index> - Interface in de.lmu.ifi.dbs.elki.index
Factory interface for indexes.
indexOfSegment(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
Get the index of a selected segment.
IndexPurity - Class in de.lmu.ifi.dbs.elki.evaluation.index
Compute the purity of index pages as a naive measure for performance capabilities using the Gini index.
IndexPurity() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexPurity
Constructor.
indexSparse(DBIDRef, SparseNumberVector) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
Index a single (sparse) instance.
IndexStatistics - Class in de.lmu.ifi.dbs.elki.evaluation.index
Simple index analytics, which includes the toString() dump of index information.
IndexStatistics() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics
Constructor.
IndexStatistics.IndexMetaResult - Class in de.lmu.ifi.dbs.elki.evaluation.index
Result class.
IndexStatistics.IndexMetaResult(Collection<Pair<String, String>>, Collection<String>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics.IndexMetaResult
Constructor.
indexToFileposition(long) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Compute file position from index number
IndexTree<N extends Node<E>,E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree
Abstract super class for all tree based index classes.
IndexTree(PageFile<N>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Constructor.
IndexTreePath<E extends Entry> - Class in de.lmu.ifi.dbs.elki.index.tree
Represents a path to a node in an index structure.
IndexTreePath(IndexTreePath<E>, E, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath
Constructs a new IndexPath.
indices - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset
Items, as indexes.
indirectSelections - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
Segments indirectly selected
inferCaller() - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil
Infer which class has called the logging helper.
inferCallerELKI() - Method in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord
Infer a caller, ignoring logging-related classes.
infile - Variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection
File to load.
infile - Variable in class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer
File to load.
infile - Variable in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer
Input stream to process.
INFINITY_LENGTH - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Length of pattern
INFINITY_PATTERN - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Infinity pattern, with any capitalization
INFLO<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Influence Outliers using Symmetric Relationship (INFLO) using two-way search, is an outlier detection method based on LOF; but also using the reverse kNN.
INFLO(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO
Constructor with parameters.
INFLO.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof
Parameterization class.
INFLO.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO.Parameterizer
 
info(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'info' ('verbose') level.
info(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Log a message at the 'info' ('verbose') level.
INFORMATION_CRITERION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer
Quality measure to use for evaluating splits.
informationCriterion - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans
Information criterion to choose the better split.
informationCriterion - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer
Information criterion.
init(BundleStreamSource) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter
 
init(BundleStreamSource) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.StreamFilter
Connect to the previous stream.
INIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer
Parameter to specify the cluster center initialization.
INIT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer
Parameter to specify the EM cluster models to use.
INIT_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans
Parameter to specify the initialization method
initDefaultVisibility(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Init the default visibility of a task.
initHeap(ObjectHeap<IntegerPriorityObject<CASHInterval>>, Relation<ParameterizationFunction>, int, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Initializes the heap with the root intervals.
initHeaps(SpatialPrimitiveDistanceFunction<V>, N) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin
Initialize the heaps.
INITIAL_BUFFER - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleWriter
Initial buffer size.
INITIAL_MEANS - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer
Option to specify the initial means to use.
INITIAL_SIZE - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode
Initial size, after sizes 0 and 1.
INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
Initial size.
INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
Initial size allocation.
INITIAL_TIES_SIZE - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
Initial size of ties array.
initialAssignToNearestCluster(Relation<V>, List<Vector>, List<Vector>, List<ModifiableDBIDs>, WritableIntegerDataStore, WritableDoubleDataStore, WritableDataStore<double[]>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan
Reassign objects, but only if their bounds indicate it is necessary to do so.
initialAssignToNearestCluster(Relation<V>, List<Vector>, List<Vector>, List<ModifiableDBIDs>, WritableIntegerDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansHamerly
Reassign objects, but only if their bounds indicate it is necessary to do so.
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance
 
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance
Initialize for a new DBID.
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance
 
initialDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Instance
 
initialization - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm
Similarity initialization
initialization - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer
Initialization function for the similarity matrix.
initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory
Initialization method.
initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer
Initialization method.
initialization - Variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
Initialization method.
INITIALIZATION_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer
Parameter for the similarity matrix initialization
initialize(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures
Hilbert function to fill pf with shifted Hilbert values.
initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection
 
initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection
 
initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection
 
initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection
 
initialize(SimpleTypeInformation<IN>) - Method in interface de.lmu.ifi.dbs.elki.data.projection.Projection
Initialize
initialize(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection
 
initialize() - Method in interface de.lmu.ifi.dbs.elki.database.Database
Initialize the database, for example by loading the input data.
initialize() - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
Initialize the database by getting the initial data from the database connection.
initialize() - Method in class de.lmu.ifi.dbs.elki.database.ProxyDatabase
 
initialize() - Method in class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase
Initialize the database by getting the initial data from the database connection.
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.AbstractHoldout
 
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation
 
initialize(MultipleObjectsBundle) - Method in interface de.lmu.ifi.dbs.elki.evaluation.classification.holdout.Holdout
Initialize the holdout procedure for a data set.
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut
 
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation
 
initialize(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
 
initialize() - Method in interface de.lmu.ifi.dbs.elki.index.Index
Initialize the index.
initialize() - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Initialize the tree if the page file already existed.
initialize(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Initializes the index.
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile
 
initialize() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile
 
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile
Initialize the page file with the given header - return "true" if the file already existed.
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache
 
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile
 
initialize(PageHeader) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile
Initialize the page file with the given header - return "true" if the file already existed.
initialize(PageHeader) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile
 
initialize() - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner
Perform a full (slow) scan for classes.
initialize(CharSequence, int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
Initialize parser with a new string.
initialize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
 
initialize(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Initialize the plot.
initializeBandwidth(double[][]) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay.Instance
 
initializeCapacities(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkAppEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkCoPEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Determines the maximum and minimum number of entries in a node.
initializeCapacities(MkMaxEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
 
initializeCapacities(MkTabEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
 
initializeCapacities(MTreeEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
 
initializeCapacities(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
 
initializeCapacities(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
 
initialized - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
True if this index is already initialized.
initializeDataExtends(Relation<NumberVector>, int, double[], double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency
Initialize the uniform sampling area.
initializeDistanceMatrix(double[], DistanceQuery<O>, DBIDArrayIter, DBIDArrayIter, boolean) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES
Initialize a distance matrix.
initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Initializes this index from an existing persistent file.
initializeFromFile(TreeIndexHeader, PageFile<N>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Initializes this R*-Tree from an existing persistent file.
initializeFromFile(TreeIndexHeader, PageFile<FlatRStarTreeNode>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTree
Initializes the flat RTree from an existing persistent file.
initializeLookupTable(double[][], NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VALPNormDistance
Initialize the lookup table.
initializeNNCache(double[], double[], int[]) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering
Initialize the NN cache.
initializeOutputType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorConversionFilter
Initialize factory from a data type.
initializeOutputType(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter
Initialize factory from a data type.
initializeOutputType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
 
initializeOutputType(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
 
initializePlot() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
Initialize the SVG plot.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory
Class to choose the initial means
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer
Initialization method
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer
Initialization method
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans
Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Parameterizer
Initialization method.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM
Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsEM.Parameterizer
 
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM
Method to choose initial means.
initializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM.Parameterizer
Method to choose initial means.
initializeRadii(DBIDs, KNNQuery<O>, DistanceQuery<O>, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF
This method prepares a container for the radii of the objects and initializes radii according to the equation: initialRadii of a certain object = (absoluteMinDist of all objects) * (avgDist of the object) / (minAvgDist of all objects)
initializeRandomAttributes(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter
Initialize random attributes.
initializeSearchItemset(BitVector, int[], int[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI
Initialize the scratch itemset.
initialMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans
Initial means to return.
initialMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans.Parameterizer
Initial means.
initialPopulation(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch
Produce an initial (random) population.
initialSeeds(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Initializes the list of seeds wit a random sample of size k.
initialSet(DBIDs, int, Random) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Returns a set of k elements from the specified sample set.
initialWeights(WritableDoubleDataStore, DBIDs, T, DistanceQuery<? super T>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.KMeansPlusPlusInitialMeans
Initialize the weight list.
initKnnDistanceList() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Returns a knn distance list with all distances set to null distance.
initLabelsAndModels(ArrayList<GeneratorInterface>, ClassLabel[], Model[], Pattern) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain
Initialize cluster labels and models.
initMinMaxArrays() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split
Init the arrays we use.
initOneDimensionalUnits(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE
Initializes and returns the one dimensional units.
initRangeQueries(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex
Initializes the dimension selecting distancefunctions to determine the preference vectors.
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser
 
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser
 
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
 
initStream(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser
 
initStream(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.StreamingParser
Init the streaming parser for the given input stream.
inline - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Buffer for inline data to output.
inlineCSS() - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass
Render CSS class to inline formatting
inlineExternal(Document, ParsedURL, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages
Inline an external file (usually from temp).
inlinePrint(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Print data into the inline part of the file.
inlinePrintNoQuotes(Object) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Print data into the inline part of the file WITHOUT checking for separators (and thus quoting).
inlineThumbnail(Document, ParsedURL, Node) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.CloneInlineImages
Inline a referenced thumbnail.
InMemoryIDistanceIndex<O> - Class in de.lmu.ifi.dbs.elki.index.idistance
In-memory iDistance index, a metric indexing method using a reference point embedding.
InMemoryIDistanceIndex(Relation<O>, DistanceQuery<O>, KMedoidsInitialization<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex
Constructor.
InMemoryIDistanceIndex.Factory<V> - Class in de.lmu.ifi.dbs.elki.index.idistance
Index factory for iDistance indexes.
InMemoryIDistanceIndex.Factory(DistanceFunction<? super V>, KMedoidsInitialization<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory
Constructor.
InMemoryIDistanceIndex.Factory.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.index.idistance
Parameterization class.
InMemoryIDistanceIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer
 
InMemoryIDistanceIndex.IDistanceKNNQuery - Class in de.lmu.ifi.dbs.elki.index.idistance
kNN query implementation.
InMemoryIDistanceIndex.IDistanceKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.IDistanceKNNQuery
Constructor.
InMemoryIDistanceIndex.IDistanceRangeQuery - Class in de.lmu.ifi.dbs.elki.index.idistance
Exact Range query implementation.
InMemoryIDistanceIndex.IDistanceRangeQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.IDistanceRangeQuery
Constructor.
InMemoryInvertedIndex<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist
Simple index using inverted lists.
InMemoryInvertedIndex(Relation<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex
Constructor.
InMemoryInvertedIndex.ArcCosineKNNQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist
kNN query object, for arc cosine distance.
InMemoryInvertedIndex.ArcCosineKNNQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.ArcCosineKNNQuery
Constructor.
InMemoryInvertedIndex.ArcCosineRangeQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist
kNN query object, for cosine distance.
InMemoryInvertedIndex.ArcCosineRangeQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.ArcCosineRangeQuery
Constructor.
InMemoryInvertedIndex.CosineKNNQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist
kNN query object, for cosine distance.
InMemoryInvertedIndex.CosineKNNQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.CosineKNNQuery
Constructor.
InMemoryInvertedIndex.CosineRangeQuery - Class in de.lmu.ifi.dbs.elki.index.invertedlist
kNN query object, for cosine distance.
InMemoryInvertedIndex.CosineRangeQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.CosineRangeQuery
Constructor.
InMemoryInvertedIndex.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist
Index factory
InMemoryInvertedIndex.Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory
 
InMemoryInvertedIndex.Factory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.invertedlist
Parameterizer for inverted list index.
InMemoryInvertedIndex.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory.Parameterizer
 
InMemoryLSHIndex<V> - Class in de.lmu.ifi.dbs.elki.index.lsh
Locality Sensitive Hashing.
InMemoryLSHIndex(LocalitySensitiveHashFunctionFamily<? super V>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex
Constructor.
InMemoryLSHIndex.Instance - Class in de.lmu.ifi.dbs.elki.index.lsh
Instance of a LSH index for a single relation.
InMemoryLSHIndex.Instance(Relation<V>, ArrayList<? extends LocalitySensitiveHashFunction<? super V>>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance
Constructor.
InMemoryLSHIndex.Instance.LSHKNNQuery - Class in de.lmu.ifi.dbs.elki.index.lsh
Class for handling kNN queries against the LSH index.
InMemoryLSHIndex.Instance.LSHKNNQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance.LSHKNNQuery
Constructor.
InMemoryLSHIndex.Instance.LSHRangeQuery - Class in de.lmu.ifi.dbs.elki.index.lsh
Class for handling kNN queries against the LSH index.
InMemoryLSHIndex.Instance.LSHRangeQuery(DistanceQuery<V>) - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Instance.LSHRangeQuery
Constructor.
InMemoryLSHIndex.Parameterizer<V> - Class in de.lmu.ifi.dbs.elki.index.lsh
Parameterization class.
InMemoryLSHIndex.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer
 
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering
The algorithm to be wrapped and run.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering.Parameterizer
Field to store the algorithm.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory
Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer
Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory
Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer
Inner neighbor set predicate
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood
The data store to use
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory
The inner predicate factory
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer
The actual predicate.
inner - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter
Actual predicate
inner - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier
Inner class for generating uncertain instances.
inner - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer
Inner class for generating uncertain instances.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList
Wrapped inner result.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
The DBIDs we wrap.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
The DBIDs we wrap.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList
Wrapped inner result.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
The DBIDs we wrap.
inner - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
The DBIDs we wrap.
inner - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView
The wrapped representation where we get the IDs from.
inner - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
The wrapped representation where we get the IDs from.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator
Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.ExtractFlatClusteringFromHierarchyEvaluator.Parameterizer
Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator
Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Parameterizer
Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator
Class to perform the cluster extraction.
inner - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Parameterizer
Inner algorithm to extract a clustering.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer
Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer
Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer
Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory
Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer
Inner index factory.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex
Inner index.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery
Inner kNN query.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRangeQuery
Inner range query.
inner - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery
Inner RkNN query.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator
Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer
Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator
Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer
Distribution estimator to use.
inner - Variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter
Adapter class.
inner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization
The parameterization we get the new values from.
inner - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters
Inner parameterization
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer
The parameter to give the non-weighted neighborhood to use.
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer
Class to use for generating the uncertain instances.
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer
Option for the class to use on the trimmed sample.
INNER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer
Option for the class to use on the winsorized sample.
INNER_KMEANS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer
Parameter to specify the kMeans variant.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans
Variant of kMeans for the bisecting step.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization
Variant of kMeans to use for initialization.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization.Parameterizer
Inner k-means algorithm to use.
innerkMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting
Variant of kMeans for the bisecting step.
innerKMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans
Inner k-means algorithm.
innerKMeans - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer
Variant of kMeans
innerScan(HilOut<O>.HilbertFeatures, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut
innerScan function calculates new upper and lower bounds and inserts the points of the neighborhood the bounds are based on in the NN Set
input - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor
KNN query object
input - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor.Instance
kNN query
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer
Data source to process.
input - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication
The data input step.
input - Variable in class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer
The data input step.
input - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader
Input channel.
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel
Input step to run on.
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel
Input step to run on.
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel
The data input configured
input - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel
Input step to run on.
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor
Input channel
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor.Instance
Input channel instance
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor
KNN query object
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor.Instance
kNN query
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor
Input variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor.Instance
Variable to exchange data over
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor
Shared double variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor.Instance
Shared double variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor
Shared int variable
input - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor.Instance
Shared int variable
input - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
Data currently processed.
INPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer
Parameter that specifies the name of the input file.
INPUT_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer
Parameter that specifies the name of the input file to be parsed.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
Input step
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer
Data source
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores
The data input part.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer
Data source.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment
The data input part.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer
Data source.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix
The data input part.
inputstep - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer
Data source.
inputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask
The data input step
inputStep - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer
 
InputStep - Class in de.lmu.ifi.dbs.elki.workflow
Data input step of the workflow.
InputStep(Database) - Constructor for class de.lmu.ifi.dbs.elki.workflow.InputStep
Constructor.
InputStep.Parameterizer - Class in de.lmu.ifi.dbs.elki.workflow
Parameterization class.
InputStep.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer
 
InputStreamDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource
Database connection expecting input from an input stream such as stdin.
InputStreamDatabaseConnection(List<ObjectFilter>, Parser) - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection
Constructor.
InputStreamDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource
Parameterization class.
InputStreamDatabaseConnection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer
 
inputTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI
Input panel.
InputTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels
Panel to handle data input.
InputTabPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel
 
insert(FPGrowth.FPTree, int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode
Insert an itemset into the tree.
insert(int[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPTree
Insert an itemset into the tree.
insert(DBID, double, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature
insert function inserts a nearest neighbor into a features nn list and its distance
insert(ObjectBundle) - Method in class de.lmu.ifi.dbs.elki.database.HashmapDatabase
 
insert(int, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs
Insert at position i (starting at 0, moving the remainder by one position).
insert(int, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
 
insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
 
insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
 
insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
 
insert(double, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
 
insert(DoubleDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
 
insert(double, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap
Add a distance-id pair to the heap unless the distance is too large.
insert(DoubleDBIDPair) - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap
Add a distance-id pair to the heap unless the distance is too large.
insert(DBIDRef, Double) - Method in interface de.lmu.ifi.dbs.elki.database.relation.DoubleRelation
Deprecated.
insert(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation
Deprecated.
insert(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
 
insert(DBIDRef, O) - Method in interface de.lmu.ifi.dbs.elki.database.relation.ModifiableRelation
Set (or insert) an object representation.
insert(ObjectBundle) - Method in interface de.lmu.ifi.dbs.elki.database.UpdatableDatabase
Inserts the given object(s) and their associations into the database.
insert(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex
Inserts the specified object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
 
insert(E, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Inserts the specified object into this M-Tree.
insert(MkAppEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
 
insert(MkCoPEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
 
insert(MkTabEntry, boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
 
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
 
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Inserts the specified real vector object into this index.
insert(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
Inserts the specified reel vector object into this index.
insert(int, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray
Insert a value at the given position.
INSERT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer
Parameter to specify the insertion strategy to construct the tree.
insertAll(DBIDs) - Method in interface de.lmu.ifi.dbs.elki.index.DynamicIndex
Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor
 
insertAll(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree
Bulk insert.
insertAll(List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnified
 
insertAll(List<MkAppEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Inserts the specified objects into this MkApp-Tree.
insertAll(List<MkCoPEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
 
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeIndex
 
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeIndex
 
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
Inserts the specified objects into this index.
insertAll(DBIDs) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
Inserts the specified objects into this index.
insertDirectoryEntry(E, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Inserts the specified directory entry at the specified level into this R*-Tree.
insertHandler(Class<?>, H) - Method in class de.lmu.ifi.dbs.elki.utilities.HandlerList
Insert a handler to the beginning of the stack.
INSERTION_CANDIDATES_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer
Fast-insertion parameter.
INSERTION_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer
Fast-insertion parameter.
INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort
Threshold for using insertion sort.
INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort
Threshold for using insertion sort.
INSERTION_THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort
Threshold for using insertion sort.
insertionEvent(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent
Insertion event.
insertionSort(double, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap
Insertion sort a single object.
insertionSort(DoubleIntegerDBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
Perform insertion sort.
insertionSort(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort
Sort via insertion sort.
insertionSort(int[], int, int, IntegerComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort
Insertion sort, for short arrays.
insertionSort(T, QuickSelect.Adapter<T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSort(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSort(T[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSort(List<T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSort(List<T>, Comparator<? super T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSort(ArrayModifiableDBIDs, Comparator<? super DBIDRef>, int, int, DBIDArrayIter, DBIDArrayIter) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSort(ModifiableDoubleDBIDList, int, int, DoubleDBIDListIter, DoubleDBIDListIter) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Sort a small array using repetitive insertion sort.
insertionSortReverse(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort
Sort via insertion sort.
insertionStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings
The insertion strategy to use.
InsertionStrategy - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert
RTree insertion strategy interface.
insertLeaf(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
 
insertLeaf(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndexTree
Add a new leaf entry to the tree.
insertLeafEntry(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree
Inserts the specified leaf entry into this R*-Tree.
insertNewline() - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream
 
inserts - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreEvent
Insertions.
insertStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSettings
Insertion strategy.
inspectClass(Class<?>, List<Pair<Reference, TreeSet<Object>>>, Map<Reference, TreeSet<Object>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
 
inspectPackage(Package, List<Pair<Reference, TreeSet<Object>>>, Map<Reference, TreeSet<Object>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
 
instance - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter
The instance to use.
InstanceLogRankNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Normalize vectors such that the smallest value of each instance is 0, the largest is 1, but using log_2(1+x).
InstanceLogRankNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization
Constructor.
InstanceLogRankNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Parameterization class.
InstanceLogRankNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization.Parameterizer
 
InstanceMeanVarianceNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Normalize vectors such that they have zero mean and unit variance.
InstanceMeanVarianceNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization
Constructor.
InstanceMeanVarianceNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Parameterization class.
InstanceMeanVarianceNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization.Parameterizer
 
InstanceMinMaxNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Normalize vectors such that the smallest attribute is 0, the largest is 1.
InstanceMinMaxNormalization(double, double) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
Constructor.
InstanceMinMaxNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization
Constructor, normalizing to [0;1]
InstanceMinMaxNormalization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Parameterization class.
InstanceMinMaxNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer
 
InstanceRankNormalization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Normalize vectors such that the smallest value of each instance is 0, the largest is 1.
InstanceRankNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization
Constructor.
InstanceRankNormalization.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise
Parameterization class.
InstanceRankNormalization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization.Parameterizer
 
instances - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter
Cache for the generated instances.
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate
 
instantiate(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate
Full instantiation method.
instantiate(Database, SimpleTypeInformation<?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate
Instantiate for a database.
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate
 
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate
 
instantiate(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate
Full instantiation interface.
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate
 
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate
 
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate
 
instantiate(Database, SimpleTypeInformation<?>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.NeighborPredicate
Instantiate for a database.
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate
 
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor
 
instantiate(Database, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.KNNWeightProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LOFProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.LRDProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor
 
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory
 
instantiate(Database, Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory
 
instantiate(Database, Relation<? extends O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.NeighborSetPredicate.Factory
Instantiation method.
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory
 
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory
 
instantiate(Database, Relation<? extends O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory
 
instantiate(Database, Relation<? extends O>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.WeightedNeighborSetPredicate.Factory
Instantiation method.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDBIDRangeDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
Instantiate with a database to get the actual distance query.
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractSpatialNorm
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter
 
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction
Instantiate with a database to get the actual distance query.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction
 
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction
 
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringDistanceSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction
 
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.IndexBasedSimilarityFunction
Preprocess the database to get the actual distance function.
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
 
instantiate(Relation<T>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction
 
instantiate(Relation<T>) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction
Instantiate with a representation to get the actual similarity query.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory
 
instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.IndexFactory
Sets the database in the distance function of this index (if existing).
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory
 
instantiate(Relation<NumberVector>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory
 
instantiate(Relation<NV>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory
 
instantiate(Relation<NV>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.localpca.FilteredLocalPCAIndex.Factory
Instantiate the index for a given database.
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory
 
instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.LocalProjectionIndex.Factory
Instantiate the index for a given database.
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory
 
instantiate(Relation<V>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.preference.PreferenceVectorIndex.Factory
Instantiate the index for a given database.
instantiate(Relation<O>) - Method in interface de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborIndex.Factory
Instantiate the index for a given database.
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory
 
instantiate(Relation<O>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory
 
instantiate(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.AbstractDoubleProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.DoubleMinMaxProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KDistanceProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.KNNProcessor
 
instantiate(Executor) - Method in interface de.lmu.ifi.dbs.elki.parallel.processor.Processor
Create an instance.
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor
 
instantiate(Executor) - Method in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor
 
instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble
 
instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger
 
instantiate() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject
 
instantiate() - Method in interface de.lmu.ifi.dbs.elki.parallel.variables.SharedVariable
Instantiate for an execution thread.
instantiate(Class<T>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
Returns a new instance of the given type for the specified className.
instantiateClass(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter
Returns a new instance for the value (i.e., the class name) of this class parameter.
instantiateClass(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter
Returns a new instance for the value (i.e., the class name) of this class parameter.
instantiateClasses(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter
Returns a list of new instances for the value (i.e., the class name) of this class list parameter.
instantiateClasses(Parameterization) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter
 
instantiateGenerics(Class<?>, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil
Returns a new instance of the given type for the specified className.
instantiateVisualization(VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Instantiate a visualization.
INT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil
Static instance.
IntArrayStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram containing an array of ints (i.e.
IntArrayStaticHistogram(int, double, double, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram
Constructor.
IntDoublePair - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing an integer and a double.
IntDoublePair(int, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair
Constructor
IntDynamicHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
A flexible histogram storing int, that can dynamically adapt the number of bins to the data fed into the histogram.
IntDynamicHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
Constructor.
INTEGER - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil
Integer type.
INTEGER_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect
Adapter for integer arrays.
INTEGER_NULL - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction
Constants for checking null.
IntegerArrayDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Trivial combination interface.
IntegerArrayQuickSort - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arrays
Class to sort an int array, using a modified quicksort.
IntegerArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort
 
IntegerArrayStaticDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Combination of ArrayStaticDBIDs and IntegerDBIDs.
IntegerComparator - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.arrays
Interface for comparing two Integer.
IntegerDataStore - Interface in de.lmu.ifi.dbs.elki.database.datastore
Integer-valued data store (avoids boxing/unboxing).
IntegerDBID - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Database ID object.
IntegerDBID(int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
Constructor from integer id.
IntegerDBID(Integer) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
Constructor from integer id.
IntegerDBID.DynamicSerializer - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Dynamic sized serializer, using varint.
IntegerDBID.DynamicSerializer() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DynamicSerializer
Constructor.
IntegerDBID.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Pseudo iterator for DBIDs interface.
IntegerDBID.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
 
IntegerDBID.StaticSerializer - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Static sized serializer, using regular integers.
IntegerDBID.StaticSerializer() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer
Constructor.
IntegerDBIDArrayIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Modifiable integer array iterator.
IntegerDBIDArrayMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Modifiable integer array iterator.
IntegerDBIDArrayQuickSort - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Class to sort an integer DBID array, using a modified quicksort.
IntegerDBIDArrayQuickSort() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort
 
IntegerDBIDIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator for integer DBIDs.
IntegerDBIDKNNList - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Combination interface for KNNList and IntegerDBIDs.
IntegerDBIDKNNSubList - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Sublist of an existing result to contain only the first k elements.
IntegerDBIDKNNSubList(IntegerDBIDKNNList, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList
Constructor.
IntegerDBIDKNNSubList.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator for the sublist.
IntegerDBIDKNNSubList.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
 
IntegerDBIDMIter - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Modifiable iterator interface for integer DBIDs.
IntegerDBIDPair - Class in de.lmu.ifi.dbs.elki.database.ids.integer
DBID pair using two ints for storage.
IntegerDBIDPair(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
Initialize pair
IntegerDBIDPair.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator.
IntegerDBIDPair.Itr(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr
Constructor.
IntegerDBIDPair.Slice - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Slice of an array.
IntegerDBIDPair.Slice(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
Constructor.
IntegerDBIDPair.Slice.SliceItr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator class.
IntegerDBIDPair.Slice.SliceItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
 
IntegerDBIDRange - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Representing a DBID range allocation.
IntegerDBIDRange(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
Constructor.
IntegerDBIDRange.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Iterator in ELKI/C++ style.
IntegerDBIDRange.Itr(int, int) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
Constructor.
IntegerDBIDRef - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
DBID reference that references an integer value.
IntegerDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids.integer
Integer DBID collection.
IntegerDBIDVar - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Variable for storing a single DBID reference.
IntegerDBIDVar() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
Constructor.
IntegerDBIDVar(DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
Constructor.
IntegerDBIDVar.Itr - Class in de.lmu.ifi.dbs.elki.database.ids.integer
Pseudo iterator for DBIDs interface.
IntegerDBIDVar.Itr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
 
integerDigits(double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Returns the integer digits of the specified double value.
IntegerHeap - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap for int values.
IntegerHeap.UnsortedIter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
IntegerMaxHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
IntegerMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
Constructor, with default size.
IntegerMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
Constructor, with given minimum size.
IntegerMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
IntegerMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter
 
IntegerMinHeap - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
IntegerMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
Constructor, with default size.
IntegerMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
Constructor, with given minimum size.
IntegerMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
IntegerMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter
 
IntegerMinMax - Class in de.lmu.ifi.dbs.elki.math
Class to find the minimum and maximum int values in data.
IntegerMinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.IntegerMinMax
Constructor without starting values.
IntegerMinMax(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.IntegerMinMax
Constructor with predefined minimum and maximum values.
IntegerObjectHeap<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Basic in-memory heap interface, for int keys and V values.
IntegerObjectHeap.UnsortedIter<V> - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
IntegerObjectMaxHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
IntegerObjectMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
Constructor, with default size.
IntegerObjectMaxHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
Constructor, with given minimum size.
IntegerObjectMaxHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
IntegerObjectMaxHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter
 
IntegerObjectMinHeap<V> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Binary heap for primitive types.
IntegerObjectMinHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
Constructor, with default size.
IntegerObjectMinHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
Constructor, with given minimum size.
IntegerObjectMinHeap.UnsortedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Unsorted iterator - in heap order.
IntegerObjectMinHeap.UnsortedIter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter
 
IntegerPriorityObject<O> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap
Object for a priority queue with integer priority.
IntegerPriorityObject(int, O) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject
Constructor.
IntegerRankTieNormalization - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Normalize vectors according to their rank in the attributes.
IntegerRankTieNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization
Constructor.
IntegerRankTieNormalization.Sorter - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Class to sort an index array by a particular dimension.
IntegerRankTieNormalization.Sorter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter
 
IntegerVector - Class in de.lmu.ifi.dbs.elki.data
Vector type using int[] storage.
IntegerVector(int[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector
Private constructor.
IntegerVector(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector
Create an IntegerVector consisting of the given integer values.
IntegerVector.Factory - Class in de.lmu.ifi.dbs.elki.data
Factory for integer vectors.
IntegerVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory
 
IntegerVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data
Parameterization class.
IntegerVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory.Parameterizer
 
IntegerVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
IntegerVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.ShortSerializer
 
IntegerVector.SmallSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for dense integer vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
IntegerVector.SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.SmallSerializer
 
IntegerVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data
Serialization class for variable dimensionality by using VarInt encoding.
IntegerVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.VariableSerializer
 
integrityCheck(AbstractMTree<O, N, E, ?>, E) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Tests this node (for debugging purposes).
integrityCheck(AbstractRStarTree<N, E, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Tests this node (for debugging purposes).
integrityCheckParameters(E, N, int, AbstractMTree<O, N, E, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode
Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(MkAppEntry, MkAppTreeNode<O>, int, AbstractMTree<O, MkAppTreeNode<O>, MkAppEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
 
integrityCheckParameters(MkCoPEntry, MkCoPTreeNode<O>, int, AbstractMTree<O, MkCoPTreeNode<O>, MkCoPEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
 
integrityCheckParameters(MkMaxEntry, MkMaxTreeNode<O>, int, AbstractMTree<O, MkMaxTreeNode<O>, MkMaxEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
Calls the super method and tests if the k-nearest neighbor distance of this node is correctly set.
integrityCheckParameters(MkTabEntry, MkTabTreeNode<O>, int, AbstractMTree<O, MkTabTreeNode<O>, MkTabEntry, ?>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(N, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(DeLiCluNode, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode
Tests, if the parameters of the entry representing this node, are correctly set.
integrityCheckParameters(RdKNNNode, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode
Tests, if the parameters of the entry representing this node, are correctly set.
interleaveBits(long[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter
Select the "iter" highest bit from each dimension.
interleaveBits(int[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter
Select the "iter" highest bit from each dimension.
interleaveBits(short[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter
Select the "iter" highest bit from each dimension.
interleaveBits(byte[], int) - Static method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter
Select the "iter" highest bit from each dimension.
INTERNAL_HEADER_SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Size of the classes header size.
INTERNAL_MIME_TYPE - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
Mime type
INTERNAL_PREFIX - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
ELKI internal thumbnail protocol prefix
INTERNAL_PROTOCOL - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
ELKI internal thumbnail protocol id.
internalErrors - Variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors
The errors that occurred.
internalGetIndex() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDRef
Get the internal index.
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs.UnmodifiableDBIDIter
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
Return the integer value of the object ID.
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr
 
internalGetIndex() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRef
Return the integer value of the object ID.
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
 
internalGetIndex() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
 
internalIntersectionSize(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Compute the set intersection size of two sets.
InternalParameterizationErrors - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling
Pseudo error class that wraps multiple error reports into one.
InternalParameterizationErrors(String, Collection<? extends Exception>) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors
Constructor.
InternalParameterizationErrors(String, Exception) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors
Constructor.
internalSetIndex(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
Internal set to integer.
intersect(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Compute whether two vectors intersect.
intersect(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Test whether two Bitsets intersect.
intersect(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Test whether two Bitsets intersect.
intersection(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
Calculate the intersection of the two MBRs or null if they do not intersect.
intersection(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Compute the set intersection of two sets.
intersectionMatrix(int[][], ArrayList<? extends DBIDs>, ArrayList<? extends DBIDs>, int) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity
Intersect the two 1d grid decompositions, to obtain a 2d matrix.
intersectionMatrix(int[][], ArrayList<int[]>, ArrayList<int[]>, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure
Intersect the two 1d grid decompositions, to obtain a 2d matrix.
intersectionSize(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Compute the vector intersection size.
intersectionSize(DBIDs, DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Compute the set intersection size of two sets.
intersectionSize(int[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure
Compute the intersection of two sorted integer lists.
intersectionSize(long, long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Compute the intersection size of two Bitsets.
intersectionSize(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Compute the intersection size of two Bitsets.
intersects(SpatialComparable, SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil
Returns true if the two SpatialComparables intersect, false otherwise.
intersects2DIncomplete(Polygon) - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon
Simple polygon intersection test.
intervalID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
Holds the unique id of this interval.
intervals - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
The one-dimensional intervals of which this unit is build.
IntHistogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram storing int values.
IntHistogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator interface.
IntIntPair - Class in de.lmu.ifi.dbs.elki.utilities.pairs
Pair storing two integers.
IntIntPair(int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair
Constructor
IntListParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying a list of integer values.
IntListParameter(OptionID, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter
Constructs an integer list parameter
IntListParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter
Constructs an integer list parameter
intp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction
Integer value of p.
IntParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters
Parameter class for a parameter specifying an integer value.
IntParameter(OptionID, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter
Constructs an integer parameter with the given optionID.
IntParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter
Constructs an integer parameter with the given optionID.
IntrinsicDimensionalityEstimator - Interface in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality
Estimate the intrinsic dimensionality from a distance list.
IntrinsicDimensionalityOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic
Use intrinsic dimensionality for outlier detection.
IntrinsicDimensionalityOutlier(DistanceFunction<? super O>, int, IntrinsicDimensionalityEstimator) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier
Constructor.
IntrinsicDimensionalityOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic
Parameterization class.
IntrinsicDimensionalityOutlier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.IntrinsicDimensionalityOutlier.Parameterizer
 
IntStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Histogram class storing int values.
IntStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram
Constructor.
IntStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram
Iterator class.
IntStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram.Iter
 
intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector
 
intValue() - Method in class de.lmu.ifi.dbs.elki.data.Bit
 
intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector
 
intValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector
Returns the value in the specified dimension as int.
intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector
 
intValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
Deprecated.
intValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Deprecated.
As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterIntValue(int).
intValue(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.IntegerDataStore
Retrieves a value from the storage.
intValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore
 
intValue(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore
 
intValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry
 
intValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
 
intValue() - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance
Get the variables value.
intValue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter
Get the parameter value as integer
inv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation
the inverse transformation
invalid() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory
Get the invalid DBID value, usable as "undefined" placeholder.
invalid() - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil
Get the invalid special ID.
invalid - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
Invalid ID.
invalid() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.AbstractIntegerDBIDFactory
 
INVALID_EXPONENT - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil
Preallocated exceptions.
invbase - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Inverse of base, for faster division by multiplication.
invCovMatr - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel
Covariance matrix, and inverse.
inverse - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
Flag whether to iterator over set or unset values.
inverse() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Matrix inverse or pseudoinverse
inverse - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Integer inverse
inverse(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution
Compute the inverse with respect to the given base.
inverseDensities - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS
Inverse Densities correspond to average distances in point set of projections
InverseDocumentFrequencyNormalization<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise
Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).
InverseDocumentFrequencyNormalization() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
Constructor.
InverseLinearWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions
Inverse Linear Weight Function.
InverseLinearWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.InverseLinearWeight
 
InverseProportionalStddevWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions
Inverse proportional weight function, scaled using the standard deviation. 1 / (1 + distance/stddev)
InverseProportionalStddevWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.InverseProportionalStddevWeight
 
InverseProportionalWeight - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions
Inverse proportional weight function, scaled using the maximum. 1 / (1 + distance/max)
InverseProportionalWeight() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.InverseProportionalWeight
 
inversePurity() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity
Get the set matchings inverse purity (second:first clustering) (normalized, 1 = equal)
invert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel
Invert the result
invert - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer
 
INVERT_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel
OptionID for inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore
Inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer
Inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter
Inversion flag
inverted - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer
Inversion flag
inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling
Inversion flag.
inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
Use inverted ranking
inverted - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
Use inverted ranking
INVERTED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer
Flag parameter for inverted scores.
INVERTEDAXIS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization.Instance
Clickable area for the axis.
InvertedDistanceSimilarityFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction
Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.
InvertedDistanceSimilarityFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction
 
InvertedOutlierScoreMeta - Class in de.lmu.ifi.dbs.elki.result.outlier
Class to signal a value-inverted outlier score, i.e. low values are outliers.
InvertedOutlierScoreMeta(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta
Constructor with all values.
InvertedOutlierScoreMeta(double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta
Constructor with range values.
InvertedOutlierScoreMeta(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.InvertedOutlierScoreMeta
Constructor with actual range only.
invertedRows - Variable in class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInversionsModel
The ids of inverted rows.
invertI(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Invert v inplace.
invertRow(int, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
 
invf - Variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel
Model parameters: flattening, inverse flattening.
invgrayC(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...
invgrayI(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Compute the inverted gray code, v XOR (v >>> 1) XOR (v >>> 2) ...
invLogExpansion - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree
Logarithm base.
invokeBundleFilters(MultipleObjectsBundle) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection
Transforms the specified list of objects and their labels into a list of objects and their associations.
invokeLater(Runnable) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner
Add a new update to run at any appropriate time.
invokeStreamFilters(BundleStreamSource) - Method in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection
Transforms the specified list of objects and their labels into a list of objects and their associations.
invp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
p parameter and its inverse.
invp - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
P parameter and its inverse.
INVSCALE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection
Inverse scaling constant.
ipowi(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
Fast loop for computing Math.pow(x, p) for p >= 0 integer and x integer.
irow - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate
Row and column bitmasks.
IS_JAVA7 - Static variable in class de.lmu.ifi.dbs.elki.utilities.Util
Detect Java 7.
IS_ORACLE_JAVA - Static variable in class de.lmu.ifi.dbs.elki.utilities.Util
Detect Oracle Java.
isAngularDistance(AbstractMaterializeKNNPreprocessor<?>) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
Test whether the given preprocessor used an angular distance function
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation
 
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation
 
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation
 
isAssignableFrom(Object) - Method in interface de.lmu.ifi.dbs.elki.data.type.TypeInformation
Test whether this type is assignable from a given object instance.
isAssignableFrom(Object) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation
 
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation
 
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation
 
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation
 
isAssignableFromType(TypeInformation) - Method in interface de.lmu.ifi.dbs.elki.data.type.TypeInformation
Test whether this type is assignable from another type.
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation
 
isAssignableFromType(TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation
 
isAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Returns true if this unit is already assigned to a cluster.
isAxisInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Get inversion flag of axis.
isAxisInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
isAxisVisible(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Test whether the current axis is visible
isAxisVisible(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.AkaikeInformationCriterion
 
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterion
 
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.BayesianInformationCriterionZhao
 
isBetter(double, double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.KMeansQualityMeasure
Compare two scores.
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterMeanDistanceQualityMeasure
 
isBetter(double, double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality.WithinClusterVarianceQualityMeasure
 
isCellEditable(int, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel
 
isCellEditable(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow.DatabaseTableModel
 
isChecked() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox
Return the checkmark status.
isClockwise(List<Vector>) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle
Verify that the triangle is clockwise
isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily
 
isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily
 
isCompatible(DistanceFunction<?>) - Method in interface de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.LocalitySensitiveHashFunctionFamily
Check whether the given distance function can be accelerated using this hash family.
isCompatible(DistanceFunction<?>) - Method in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily
 
isCompatibleURL(ParsedURL) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
 
isCompatibleURLStatic(ParsedURL) - Static method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry
Test for a compatible URL.
isComplete() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel
Test if this tab is complete
isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress
Test whether the progress was completed.
isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress
Return whether the progress is complete
isComplete() - Method in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress
Return whether the progress is complete
isComplete() - Method in interface de.lmu.ifi.dbs.elki.logging.progress.Progress
Test whether a progress is complete (and thus doesn't need to be shown anymore)
isConnected(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.UnionFind
Test if two components are connected.
isConnected(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs
 
isConnected(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs
 
isConvex(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D
Simple convexity test.
isCorePoint(DBIDRef, T) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.CorePredicate.Instance
Decide whether the point is a core point, based on its neighborhood.
isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Instance
 
isCorePoint(DBIDRef, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Instance
 
isCorePoint(DBIDRef, PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Instance
 
isDebugging() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'debug' at 'FINE' level.
isDebuggingFine() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'debug' at 'FINE' level This is the same as Logging.isDebugging()
isDebuggingFiner() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'debug' at 'FINER' level
isDebuggingFinest() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'debug' at 'FINEST' level
isDefined() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
 
isDefined() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
Returns true if the value of the option is defined, false otherwise.
isDimHidden(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
isDimInverted(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel
Get inversion flag of dimension.
isDimInverted(int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel
 
isDirty() - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage
Returns true if this page is dirty, false otherwise.
isDirty() - Method in interface de.lmu.ifi.dbs.elki.persistent.Page
Returns true if this page is dirty, false otherwise.
isDisabled(String) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores
Test if a given algorithm is disabled.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs
Test for an empty DBID collection.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap
Test if the heap is empty.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap
Is the heap empty?
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap
Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap
Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap
Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap
Test for emptiness.
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap
Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap
Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap
 
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap
 
isEmpty() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap
Is the heap empty?
isEmpty() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
Test for empty tokens; usually at end of line.
isEmpty() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner
Check whether the queue is empty.
isExpandable - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair
Indicates whether this pair is expandable or not.
isFalse() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag
Shorthand for isDefined() && getValue() == false
isFinite(double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube
Finite (and not NaN) double values.
isForceincomments() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream
Test force-in-comments flag.
isFullRank() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
Is the matrix full rank?
isGzipCompression() - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
Get GZIP compression flag.
isInfo() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'info' aka 'verbose'.
isLabelColumn(int) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser
Test if the current column is marked as label column.
isLeaf - Variable in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
Indicates whether this node is a leaf node.
isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode
 
isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node
True, if the node is a leaf.
isLeaf() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node
True, if the node is a leaf.
isLeaf() - Method in interface de.lmu.ifi.dbs.elki.index.tree.Node
Returns true if this node is a leaf node, false otherwise.
isLeafEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractDirectoryEntry
 
isLeafEntry() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry
 
isLeafEntry() - Method in interface de.lmu.ifi.dbs.elki.index.tree.Entry
Returns true if this entry is an entry in a leaf node (i.e. this entry represents a data object), false otherwise.
isLeft(Vector, Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D
Test whether a point is left of the other wrt. the origin.
isLocalMaximum(double, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC
Test if a point is a local density maximum.
isLoggable(Logging.Level) - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Verify if logging is enabled at that particular level.
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction
 
isMetric() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction
Is this distance function metric (in particular, does it satisfy the triangle equation?)
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction
 
isMetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction
 
isNoise() - Method in class de.lmu.ifi.dbs.elki.data.Cluster
Getter for noise flag.
isNone() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
Check if this segment contains the pairs that are never clustered by any of the clusterings (all 0).
isNonsingular() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition
Is the matrix nonsingular?
isNotSpurious(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster
Test if a cluster is spurious.
isNull(Object) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction
Test a value for null.
isOptional() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
 
isOptional() - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
Checks if this parameter is an optional parameter.
isParent(ERiCNeighborPredicate<V>.Instance, Cluster<CorrelationModel<V>>, Hierarchy.Iter<Cluster<CorrelationModel<V>>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC
Returns true, if the specified parent cluster is a parent of one child of the children clusters.
isParent(Relation<V>, Cluster<SubspaceModel>, Hierarchy.Iter<Cluster<SubspaceModel>>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Returns true, if the specified parent cluster is a parent of one child of the children clusters.
isQuote(int) - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
Detect quote characters.
isQuoted() - Method in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer
Test if the current string was quoted.
isReferenceResult(Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering
Test if a clustering result is a valid reference result.
isRoot(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree
Test if a given ID is the root.
isSelected(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
Test whether a segment is selected.
isSet() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar
Test if the variable is well-defined.
isSet() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
 
isSoft() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM
 
isSolvable() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Checks if a solved system is solvable.
isSolvable(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Checks solvability of this linear equation system with the chosen method.
isSolved() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Tests if system has already been tested for solvability.
isspd - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition
Symmetric and positive definite flag.
isSPD() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition
Is the matrix symmetric and positive definite?
isSpurious(HDBSCANHierarchyExtraction.TempCluster, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
Spurious, also for non-materialized clusters.
isSpurious(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster
Test if a cluster is spurious.
isStarted() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath
Test whether the path drawing has already started.
isStatistics() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'statistics'.
isSubspace(Subspace) - Method in class de.lmu.ifi.dbs.elki.data.Subspace
Returns true if this subspace is a subspace of the specified subspace, i.e.
issuedQueries - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
 
isSuperset(P3C.Signature) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature
Test whether this is a superset of the other signature.
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction
 
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction
 
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction
 
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter
 
isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction
Is this function symmetric?
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction
 
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
 
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction
 
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction
 
isSymmetric() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction
Is this function symmetric?
issymmetric - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition
Symmetry flag.
isSymmetric() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Returns true, if this matrix is symmetric, false otherwise.
isTestAgainstModel() - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain
Return value of the GeneratorMain.testAgainstModel flag.
isTrue() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag
Shorthand for isDefined() && getValue() == true
isUnpaired() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment
Checks if the segment has a cluster with unpaired objects.
isValid() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax
Test whether the result is defined.
isValid() - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax
Test whether the result is defined.
isValid(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter
 
isValid(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter
Checks if the given argument is valid for this option.
isVerbose() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'verbose' aka 'info'.
isVeryVerbose() - Method in class de.lmu.ifi.dbs.elki.logging.Logging
Test whether to log 'veryverbose'.
isWritable() - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Check if the file is writable.
isZero(long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil
Test for the bitstring to be all-zero.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter
Wrapped iterator.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs.UnmodifiableDBIDIter
Wrapped iterator.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs.Itr
The actual iterator.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter
Wrapped iterator.
it - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs.UnmodifiableDBIDIter
Wrapped iterator.
it - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.FilteredIter
Iterator in primary hierarchy.
it - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent
Plot item selected
it - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot.SelectPlotEvent
Plot item clicked
it1 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter
Iterator in primary hierarchy.
it2 - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter
Iterator in secondary hierarchy.
item - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.OneItemset
Trivial item.
item - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
Meta information on the visualizers contained.
itemIterator() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem
Iterate (recursively) over all plot items, including itself.
items - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.DenseItemset
Items, as a bitmask.
items - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset
Items, as a bitmask.
Itemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining
APRIORI itemset.
Itemset() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset
 
itemsets - Variable in class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult
The supports of all frequent itemsets.
iter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering
Iterator to use for more efficient random access.
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel
 
iter() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder
Get an iterator.
iter() - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iter() - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector
Iterator over non-zero features only, ascending.
iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iter() - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Iterator over non-zero features only, ascendingly.
iter() - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iter() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon
Get an iterator to the vector contents.
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs
Iterable
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs
Get a DBID iterator (a more efficient API).
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDList
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList
 
iter - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr
Array iterator, for referencing.
iter - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr
Array iterator, for referencing.
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.HashSetModifiableDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayDBIDs
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayStaticDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNList
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs
 
iter() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs
 
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs
Get a modifiable DBID iterator (a more efficient API).
iter() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList
 
iter - Variable in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.RelationObjectIterator
The real iterator.
iter() - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.DBIDMap
Get an array iterator, for scanning.
iter() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.RangeMap
 
iter() - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap
 
iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter
Original Iterator
iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter
Original iterator.
iter - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter
Original Iterator
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram
Get an iterator over all histogram bins.
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleStaticHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatDynamicHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.FloatStaticHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.Histogram
Get an iterator over all histogram bins.
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntDynamicHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntStaticHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongDynamicHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongStaticHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram
Get a histogram iterator.
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram
 
iter() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortHistogram
 
iter() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram
 
Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.iterator
Iterator interface for more than one return value.
ITER_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer
Number of iterations.
IterableResult<O> - Interface in de.lmu.ifi.dbs.elki.result
Interface of an "iterable" result (e.g. a list, table) that can be printed one-by-one.
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterAdvance(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector
Advance the iterator to the next position.
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterAdvance(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterAll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterAll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate over all members.
iterAncestors(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterAncestors(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate ancestors (recursive parents)
iterAncestorsSelf(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterAncestorsSelf(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate ancestors (recursive parents) and self.
iterate() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Perform an iteration of the approximation loop.
iterateClass(int) - Method in interface de.lmu.ifi.dbs.elki.visualization.style.ClassStylingPolicy
Iterate over all objects from a given class.
iterateClass(int) - Method in class de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy
 
iterateClass(int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy
 
iterations - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder
Number of iterations to perform
iterations - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer
Number of iterations to perform
iterator() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepAreaResult
 
iterator() - Method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.CollectionFromRelation
 
iterator() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments
 
iterator() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile
 
iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve
Get an iterator for the curve.
iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve
Get an iterator for the curve.
iterator() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot
 
iterator() - Method in class de.lmu.ifi.dbs.elki.result.CollectionResult
Implementation of the IterableResult interface, using the backing collection.
iterator() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult
 
iterator() - Method in class de.lmu.ifi.dbs.elki.result.EvaluationResult.MeasurementGroup
 
iterator() - Method in interface de.lmu.ifi.dbs.elki.result.IterableResult
Retrieve an iterator for the result.
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterByteValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Get the value of the iterators' current dimension.
iterByteValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterChildren(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterChildren() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
Iterate over parents.
iterChildren(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate over the (direct) children.
iterChildrenReverse(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterChildrenReverse() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
Iterate over parents.
iterChildrenReverse(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate over the (direct) children in reverse order.
iterDBIDs(COPACNeighborPredicate.COPACModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Instance
 
iterDBIDs(DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Instance
 
iterDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance
 
iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Instance
 
iterDBIDs(T) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.NeighborPredicate.Instance
Add the neighbors to a DBID set
iterDBIDs(PreDeConNeighborPredicate.PreDeConModel) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Instance
 
iterDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance
 
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView
 
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView
 
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation
 
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation
 
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView
 
iterDBIDs() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView
 
iterDBIDs() - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation
Get an iterator access to the DBIDs.
iterDescendants(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterDescendants(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate descendants (recursive children)
iterDescendantsSelf(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterDescendantsSelf(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate descendants (recursive children) and self.
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterDim(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector
Get the dimension an iterator points to.
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterDim(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterDoubleValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Get the value of the iterators' current dimension.
iterDoubleValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterFloatValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Get the value of the iterators' current dimension.
iterFloatValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterIntValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Get the value of the iterators' current dimension.
iterIntValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterLongValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Get the value of the iterators' current dimension.
iterLongValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterParents(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterParents() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
Iterate over parents.
iterParents(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate over the (direct) parents.
iterParentsReverse(O) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy
 
iterParentsReverse() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec
Iterate over parents.
iterParentsReverse(O) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy
Iterate over the (direct) parents in reverse order.
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterShortValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector
Get the value of the iterators' current dimension.
iterShortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iterToplevelClusters() - Method in class de.lmu.ifi.dbs.elki.data.Clustering
Iterate over the top level clusters.
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
 
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector
 
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector
 
iterValid(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseFeatureVector
Test the iterator position for validity.
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
 
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector
 
iterValid(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector
 
iwidth - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction
Scaling factor: inverse of width.
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ELKI Version 0.7.0

Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.