M-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

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E nvironment for
Deve L oping
K DD-Applications
Supported by I ndex-Structures

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M

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK: The values of the helper function m to determine the pointer representation.
m - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO: Holds the value of INFLO.M_PARAM.
m - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine: The incline.
m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition: Row and column dimensions, and pivot sign.
m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition: Row and column dimensions.
m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition: Row and column dimensions.
m - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression
m_czech - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: The dissimilarity matrix.
m_hat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult: The similarity matrix.
m_i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Holds the value of PROCLUS.M_I_PARAM.
M_I_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: OptionID for PROCLUS.M_I_PARAM
M_I_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.
M_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO: OptionID for INFLO.M_PARAM
M_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO: Parameter to specify if any object is a Core Object must be a double greater than 0.0 see paper "Two-way search method" 3.2 Key: -inflo.m
magic - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Magic number used to identify files
mahalanobisDistance(Matrix, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil: Compute the Mahalanobis distance using the given weight matrix
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix: Main method, delegate to super class.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix: Main method, delegate to super class.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.ComputeSingleColorHistogram: Main method to run this wrapper.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec: Main method to run this wrapper.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties: Main method.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication: Runs a KDD task accordingly to the specified parameters.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer: Main method to run this wrapper.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.data.RationalNumber: Calls test for a given number of numbers and a optionally given target file.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Main method that just spawns the UI.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.KDDTask: Runs a KDD task accordingly to the specified parameters.
mainPanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel: Main panel
make() - Method in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram.Adapter: Construct a new T when needed.
make() - Method in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram: Make a new bin.
makeByClassOverview(HashMapList<Class<?>, Parameter<?, ?>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
makeByOptOverview(HashMapList<OptionID, Pair<Parameter<?, ?>, Class<?>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
makeConstraintsVector(ParameterConstraint<S>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter: Wrap a single constraint into a vector of constraints.
makeDatabaseFromClustering(Database<O>, R, Class<L>) - Method in class de.lmu.ifi.dbs.elki.database.LabelsFromClustering: Retrieve a cloned database that - does not contain noise points - has labels assigned based on the given clustering Useful for e.g. training a classifier based on a clustering.
makeDatabasesFromClustering(Database<O>, R, Class<L>) - Method in class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering: Use an existing clustering to partition a database.
makeDatabasesFromClustering(Database<O>, R) - Method in class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering: Use an existing clustering to partition a database.
makeDetailPlot(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Event triggered when a plot was selected.
makeElement(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.VisualizationInfo: Make an element for this visualization.
makeElement(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.VisualizationLabel
makeElement(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Turn the path buffer into an SVG element.
makeElement(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Turn the path buffer into an SVG element.
makeMarginTransform(double, double, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Make a transform string to add margins
makeMarginTransform(double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Make a transform string to add margins
makeMarginTransform(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Make a transform string to add margins
makePlot() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.OPTICSPlotVisualizer: Make the optics plot
maker - Variable in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram: Constructor for new elements
makeRunnerIfNeeded() - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer: Join the runnable queue of a component.
makeStyleElement(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Make a (filled) CSS style element for the given document.
makeStyleElement(Document) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil: Make a new CSS style element for the given Document.
makeSubplot() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.SubplotSelectedEvent: Retrieve a materialized detail plot.
manager - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Visualization manager.
managerStarted(UpdateManagerEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter: React to an update manager becoming available.
managerStopped(UpdateManagerEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer.UMAdapter
ManhattanDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.
ManhattanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction: Provides a Manhattan distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.
manhattanSegmentalDistance(V, V, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS: Returns the Manhattan segmental distance between o1 and o2 relative to the specified dimensions.
map - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache: The map holding the objects of this cache.
map - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromHashMap: Store the hashmap for results.
map - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult: Map of object IDs to their cluster order entry
map - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult.PredecessorAdapter: Access reference.
map - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult.ReachabilityDistanceAdapter: Access reference.
map - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap: HashMap with object values
map - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: HashMap of open print streams.
MARGIN - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Margin
markAsAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit: Marks this unit as assigned to a cluster.
MARKER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d.DataDotVisualizer: Generic tag to indicate the type of element.
MARKER_LIBRARY - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.VisualizerContext: Identifier for the main marker library to use.
MarkerLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.svg: A marker library is a class that can generate and draw various styles of markers.
MARKERPLOT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary: Marker size
materialize() - Method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram
materialized - Variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: Materialized neighborhood
MaterializeDistances<V extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.algorithm: Algorithm to materialize all the distances in a data set.
MaterializeDistances(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances: Constructor, adhering to Parameterizable
MaterializeKNNPreprocessor<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.preprocessing: A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MaterializeKNNPreprocessor(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor: Constructor, adhering to Parameterizable
materializeROC(int, Collection<Integer>, Iterator<Pair<C, Integer>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC: Compute a ROC curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.
MathUtil - Class in de.lmu.ifi.dbs.elki.math: A collection of math related utility functions.
MathUtil() - Constructor for class de.lmu.ifi.dbs.elki.math.MathUtil
Matrix - Class in de.lmu.ifi.dbs.elki.math.linearalgebra: The Matrix Class represents real-valued matrices.
Matrix() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Basic-constructor for use in complex constructors only.
Matrix(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Constructs an m-by-n matrix of zeros.
Matrix(int, int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Constructs an m-by-n constant matrix.
Matrix(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Constructs a matrix from a 2-D array.
Matrix(RationalNumber[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Constructs a Matrix for a given array of arrays of RationalNumbers.
Matrix(double[], int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: Construct a matrix from a one-dimensional packed array
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: OptionID for DiskCacheBasedDoubleDistanceFunction.MATRIX_PARAM
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: OptionID for DiskCacheBasedFloatDistanceFunction.MATRIX_PARAM
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: OptionID for FileBasedDoubleDistanceFunction.MATRIX_PARAM
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: OptionID for FileBasedFloatDistanceFunction.MATRIX_PARAM
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction: Parameter that specifies the name of the directory to be re-parsed.
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction: Parameter that specifies the name of the directory to be re-parsed.
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction: Parameter that specifies the name of the directory to be re-parsed.
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction: Parameter that specifies the name of the directory to be re-parsed.
matrixsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix: Size of the matrix
max - Variable in class de.lmu.ifi.dbs.elki.data.Interval: The maximum (right) value of this interval.
max - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution: Maximum
max(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil: Returns the maximum of the given Distances or the first, if none is greater than the other one.
max(List<D>, List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Returns an array that holds the maximum values of the both specified arrays in each index.
MAX - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator: Indicates the comparison of the max values of the entries' MBRs.
max - Variable in class de.lmu.ifi.dbs.elki.math.ReplacingHistogram: To avoid introducing an extra bucket for the maximum value.
max(Map<Integer, Set<Integer>>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Returns the set with the maximum size contained in the specified map.
max - Variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox: The coordinates of the 'upper right' (= maximum) hyper point.
max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: Field storing the maximum to use
max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling: Maximum value seen
max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Field storing the Maximum value
max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling: Maximum value seen, set by OutlierMinusLogScaling.prepare(de.lmu.ifi.dbs.elki.database.Database, de.lmu.ifi.dbs.elki.result.Result, de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)
max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Field storing the Maximum value
max - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling: The maximum value
max - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale: max value of the scale
max_degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction: Degree of the polynomial kernel function
MAX_DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction: OptionID for FooKernelFunction.MAX_DEGREE_PARAM
MAX_DEGREE_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction: Parameter for the maximum degree
MAX_DIMENSIONS_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Maximum number of dimensions to visualize.
MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: OptionID for ClipScaling.MAX_PARAM
MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: OptionID for OutlierLinearScaling.MAX_PARAM
MAX_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: OptionID for OutlierSqrtScaling.MAX_PARAM
MAX_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: Parameter to specify the maximum value Key: -clipscale.max
MAX_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Parameter to specify the lambda value Key: -linearscale.max
MAX_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Parameter to specify the fixed maximum to use.
maxCacheSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: The maximum number of deaps in the cache, corresponds to the maximum height of this heap.
maxDeapIndex - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: The maximum index of a deap in this heap (corresponds to the maximum number of deaps - 1)
maxDeapSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap: The maximum size of a deap.
maxdim - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot: Stores the maximum number of dimensions to show.
maxdim - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Stores the maximum number of dimensions to show.
MAXDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: OptionID for ResultVisualizer.MAXDIM_PARAM.
MAXDIM_PARAM - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: Parameter for the maximum number of dimensions, Code: -vis.maxdim
maxima - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Stores the maximum in each dimension.
MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: OptionID for AttributeWiseMinMaxNormalization.MAXIMA_PARAM
MAXIMA_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Parameter for maximum.
maximalExtensionPartition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit: Partitions the specified feature vectors where the split axes are the dimensions with maximum extension
MaximumDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
MaximumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MaximumDistanceFunction: Provides a Maximum distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.
maximumIndex - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: The maximal occurring index of any dimension.
maxIntegerDigits(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Returns the maximum integer digits in each column of the specified values.
maxIntegerDigits(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem: Returns the maximum integer digits of the specified values.
maxIntersection(Map<Integer, Set<Integer>>, Set<Integer>, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Returns the index of the set having the maximum intersection set with the specified set contained in the specified map.
maxiter - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans: Holds the value of KMeans.MAXITER_PARAM.
MAXITER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans: OptionID for KMeans.MAXITER_PARAM
MAXITER_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans: Parameter to specify the number of clusters to find, must be an integer greater or equal to 0, where 0 means no limit.
maxLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Holds the value of CASH.MAXLEVEL_PARAM.
MAXLEVEL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: OptionID for CASH.MAXLEVEL_PARAM.
MAXLEVEL_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.
maxNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap: Retrieves, but does not remove, the maximum node of this heap.
MAXRESOLUTION - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow: Maximum resolution for plotted lines to improve performance for long time series.
maxruns - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Maximum number of iterations in run()
maxSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap: The maximum size of this deap.
maxsmall - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Maximum number of small improvements (stopping condition)
maxSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit: The entries sorted according to their max values of their MBRs.
maxSplitDimension - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval: Holds the maximum dimension which has already been split.
mbr() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
mbr(List<E>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit: Computes and returns the mbr of the specified nodes, only the nodes between from and to index are considered.
mbr - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry: The minimum bounding rectangle of the underlying spatial node.
mbr() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialNode: Computes and returns the MBR of this spatial object.
mbrVisualizer - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.adapter.RStarTreeAdapter: Prototype for parameterization
mean - Variable in class de.lmu.ifi.dbs.elki.data.model.MeanModel: Cluster mean
mean - Variable in class de.lmu.ifi.dbs.elki.data.model.SubspaceAndMeanModel: Cluster mean.
mean - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution: Mean value for the generator
mean - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Stores the mean in each dimension.
mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling: Mean value
mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Mean to use
mean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling: Mean to use
MEAN_FLAG - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Parameter to specify the lambda value Key: -linearscale.max
MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: OptionID for AttributeWiseVarianceNormalization.MEAN_PARAM
MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: OptionID for OutlierLinearScaling.MEAN_FLAG
MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: OptionID for SqrtStandardDeviationScaling.MEAN_PARAM
MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling: OptionID for StandardDeviationScaling.MEAN_PARAM
MEAN_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization: Parameter for means.
MEAN_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Parameter to specify a fixed mean to use.
MEAN_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling: Parameter to specify a fixed mean to use.
MeanModel<V extends FeatureVector<V,?>> - Class in de.lmu.ifi.dbs.elki.data.model: Cluster model that stores a mean for the cluster.
MeanModel(V) - Constructor for class de.lmu.ifi.dbs.elki.data.model.MeanModel: Constructor with mean
means(List<List<Integer>>, List<V>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans: Returns the mean vectors of the given clusters in the given database.
MeanVariance - Class in de.lmu.ifi.dbs.elki.math: Do some simple statistics (mean, average).
MeanVariance() - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance: Empty constructor
MeanVariance(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance: Constructor from full internal data.
MeanVariance(MeanVariance) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance: Constructor from other instance
MeanVarianceHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.AggregatingHistogram: Convenience constructor for MeanVariance-based Histograms.
MeanVarianceHistogram(int) - Static method in class de.lmu.ifi.dbs.elki.math.FlexiHistogram: Convenience constructor for MeanVariance-based Histograms.
MeasurementFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance: Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.
members - Variable in class de.lmu.ifi.dbs.elki.data.MultiInstanceObject: Holds the members of this MultiInstanceObject.
MemoryPageFile<P extends Page<P>> - Class in de.lmu.ifi.dbs.elki.persistent: A memory based implementation of a PageFile that simulates I/O-access.
MemoryPageFile(int, long, Cache<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile: Creates a new MemoryPageFile that is supported by a cache with the specified parameters.
merge(Database<V>, List<ORCLUS<V>.ORCLUSCluster>, int, int, IndefiniteProgress) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS: Reduces the number of seeds to k_new
mergeCSSFrom(CSSClassManager) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager: Merge CSS classes, for example to merge two plots.
MergedParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization: This configuration can be "rewound" to allow the same values to be consumed multiple times, by different classes.
MergedParameterization(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: Constructor.
MergedParameterization(Parameterization, ListParameterization, Vector<Pair<OptionID, Object>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization: Constructor for descending
message(String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Static version to log a 'info' message.
message(String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil: Static version to log a 'info' message.
MessageFormatter - Class in de.lmu.ifi.dbs.elki.logging: A formatter to simply retrieve the message of an LogRecord without printing origin information.
MessageFormatter() - Constructor for class de.lmu.ifi.dbs.elki.logging.MessageFormatter: Provides a message formatter to simply retrieve the message of an LogRecord.
meta - Variable in class de.lmu.ifi.dbs.elki.result.MultiResult: Meta data.
meta - Variable in class de.lmu.ifi.dbs.elki.result.outlier.OutlierResult: Outlier score meta information
meta - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling: Keep a reference to the outlier score meta, for normalization.
META_LEVEL - Static variable in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualizer: Meta data key: Level for visualizer ordering Returns an integer indicating the "temporal position" of this Visualizer.
META_NAME - Static variable in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualizer: Meta data key: Visualizer name for UI Type: String
META_NOTHUMB - Static variable in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualizer: Flag to signal there is no thumbnail needed.
META_VISIBLE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualizer: Flag to control visibility.
META_VISIBLE_DEFAULT - Static variable in interface de.lmu.ifi.dbs.elki.visualization.visualizers.Visualizer: Flag to signal default visibility of a visualizer.
metadata - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualizer: Meta data storage
MetaMultiAlgorithm<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.algorithm: Meta algorithm that will run multiple algorithms and join the result.
MetaMultiAlgorithm(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MetaMultiAlgorithm: Constructor, adhering to Parameterizable
MetaParser<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.parser.meta: A MetaParser uses any Parser as specified by the user via parameter setting as base parser and may perform certain transformations on the retrieved ParsingResult.
MetaParser(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.MetaParser: Constructor, adhering to Parameterizable
MetricalEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical: Marker interface for entries in a node of a metrical index.
MetricalIndex<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MetricalEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical: Abstract super class for all metrical index classes.
MetricalIndex(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex: Constructor
MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.database: MetricalIndexDatabase is a database implementation which is supported by a metrical index structure.
MetricalIndexDatabase(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase: Constructor, adhering to Parameterizable
MetricalNode<N extends MetricalNode<N,E>,E extends MetricalEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical: Marker interface for objects that can be used as nodes in a metrical index.
min - Variable in class de.lmu.ifi.dbs.elki.data.Interval: The minimum (left) value of this interval.
min - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution: Minimum
min(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil: Returns the minimum of the given Distances or the first, if none is less than the other one.
MIN - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator: Indicates the comparison of the min values of the entries' MBRs.
min - Variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox: The coordinates of the 'lower left' (= minimum) hyper point.
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: Field storing the minimum to use
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Field storing the Minimum to use
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Field storing the minimum value
min - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Min to use
min - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale: min value of the scale
MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: OptionID for ClipScaling.MIN_PARAM
MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: OptionID for OutlierLinearScaling.MIN_PARAM
MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: OptionID for OutlierSqrtScaling.MIN_PARAM
MIN_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: OptionID for SqrtStandardDeviationScaling.MIN_PARAM
MIN_LOGLIKELIHOOD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
MIN_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling: Parameter to specify a fixed minimum to use.
MIN_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling: Parameter to specify a fixed minimum to use.
MIN_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling: Parameter to specify the fixed minimum to use.
MIN_PARAM - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Parameter to specify the fixed minimum to use.
minChild(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap: Returns the index of the smaller child of the node at index i.
minDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Holds the value of CASH.MINDIM_PARAM.
MINDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: OptionID for CASH.MINDIM_PARAM
MINDIM_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
minDist(HyperBoundingBox, V) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction: Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.
minDist(HyperBoundingBox, Integer) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction: Computes the minimum distance between the given MBR and the FeatureVector object with the given id according to this distance function.
minfreq - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Holds the value of APRIORI.MINFREQ_PARAM.
MINFREQ_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: OptionID for APRIORI.MINFREQ_PARAM
MINFREQ_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Optional parameter to specify the threshold for minimum frequency, must be a double greater than or equal to 0 and less than or equal to 1.
MiniGUI - Class in de.lmu.ifi.dbs.elki.gui.minigui: Minimal GUI built around a table-based parameter editor.
MiniGUI() - Constructor for class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI: Constructor
MiniGUI.SettingsComboboxModel - Class in de.lmu.ifi.dbs.elki.gui.minigui: Class to interface between the saved settings list and a JComboBox
MiniGUI.SettingsComboboxModel(SavedSettingsFile) - Constructor for class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel: Constructor
minima - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Stores the minimum in each dimension.
MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: OptionID for AttributeWiseMinMaxNormalization.MINIMA_PARAM
MINIMA_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization: Parameter for minimum.
MinimalMarkers - Class in de.lmu.ifi.dbs.elki.visualization.svg: Simple marker library that just draws colored crosses at the given coordinates.
MinimalMarkers(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.MinimalMarkers: Constructor
MinimalMarkers() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.MinimalMarkers: Constructor
MinimumDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
MinimumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.MinimumDistanceFunction: Provides a Minimum distance function that can compute the Minimum distance (that is a DoubleDistance) for FeatureVectors.
MinMax<T extends Comparable<? super T>> - Class in de.lmu.ifi.dbs.elki.math: Class to find the minimum and maximum double values in data.
MinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax: Constructor without starting values.
MinMax(T, T) - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax: Constructor with predefined minimum and maximum values.
MinMaxHeap<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap: A double-ended priority queue implemented as a binary heap.
MinMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap: Constructs and initializes a new min-max-heap.
minmaxx - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotMap: X coordinates seen
minmaxy - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotMap: Y coordinates seen
minNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap: Retrieves, but does not remove, the minimum node of this heap.
minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit: Minimum points.
minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Holds the value of CASH.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Holds the value of DBSCAN.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS: Holds the value of OPTICS.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: Holds the value of ProjectedDBSCAN.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Holds the value of SNNClustering.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Holds the value of SUBCLU.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF: Holds the value of OPTICSOF.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Threshold for minimum number of points in the neighborhood.
minpts - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: Holds the value of parameter minpts.
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: OptionID for CASH.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: OptionID for DBSCAN.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: OptionID for DeLiClu.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS: OptionID for OPTICS.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: OptionID for ProjectedDBSCAN.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: OptionID for SNNClustering.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: OptionID for SUBCLU.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: OptionID for DiSHPreprocessor.MINPTS_PARAM
MINPTS_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Option name for DiSHPreprocessor.MINPTS_ID.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH: Parameter to specify the threshold for minimum number of points in a cluster, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN: Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu: Parameter to specify the threshold for minimum number of points within a cluster, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS: Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN: Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering: Parameter to specify the threshold for minimum number of points in the epsilon-SNN-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU: Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF: Parameter to specify the threshold MinPts Key: -optics.minpts
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor: Positive threshold for minimum numbers of points in the epsilon-neighborhood of a point, must satisfy following DiSHPreprocessor.CONDITION.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor: Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
minSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit: The entries sorted according to their min values of their MBRs.
minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Holds the value of APRIORI.MINSUPP_PARAM.
MINSUPP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: OptionID for APRIORI.MINSUPP_PARAM
MINSUPP_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI: Parameter to specify the threshold for minimum support as minimally required number of transactions, must be an integer equal to or greater than 0.
minus(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic: Subtracts the given number from this number.
minus(BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Returns a bit vector corresponding to an NXOR operation on this and the specified bit vector.
minus(DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
minus(FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
minus(V) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns a new NumberVector of V that is the sum of this NumberVector of V and the negativeVector() of given NumberVector of V.
minus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
minus(SparseFloatVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
minus(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance
minus(D) - Method in interface de.lmu.ifi.dbs.elki.distance.Distance: Returns a new Distance by subtracting the given distance from this distance.
minus(PCACorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.PCACorrelationDistance
minus(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance
minus(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance
minus(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance
minus(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance
minus(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance
minus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: C = A - B
minus(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector: Returns this vector minus the specified vector v.
minusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix: A = A - B
MinusLogGammaScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling that can map arbitrary values to a probability in the range of [0:1], by assuming a Gamma distribution on the data and evaluating the Gamma CDF.
MinusLogGammaScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling: Constructor, adhering to Parameterizable
MinusLogScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling: Scaling function to invert values by computing -1 * Math.log(x)
MinusLogScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.MinusLogScaling
MinusLogStandardDeviationScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling that can map arbitrary values to a probability in the range of [0:1].
MinusLogStandardDeviationScaling(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling: Constructor, adhering to Parameterizable
mixAlpha(int, int, int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.data.images.BlendComposite.BlendingContext: Mix the new values with the original values taking the alpha value into account.
mixMagic(int, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray: Mix two magic numbers into one, to obtain a combined magic.
MkAppDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: Represents an entry in a directory node of a MkApp-Tree.
MkAppDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Empty constructor for serialization purposes.
MkAppDirectoryEntry(Integer, D, Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry: Provides a new MkCoPDirectoryEntry with the given parameters.
MkAppEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: Defines the requirements for an entry in an MkCop-Tree node.
MkAppLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: Represents an entry in a leaf node of a MkApp-Tree.
MkAppLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Empty constructor for serialization purposes.
MkAppLeafEntry(Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry: Provides a new MkAppLeafEntry with the given parameters.
MkAppTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: MkAppTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkAppTree(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree: Constructor, adhering to Parameterizable
MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp: Represents a node in an MkApp-Tree.
MkAppTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode: Empty constructor for Externalizable interface.
MkAppTreeNode(PageFile<MkAppTreeNode<O, D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode: Creates a MkAppTreeNode object.
MkCoPDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: Represents an entry in a directory node of an MkCop-Tree.
MkCoPDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Empty constructor for serialization purposes.
MkCoPDirectoryEntry(Integer, D, Integer, D, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry: Provides a new MkCoPDirectoryEntry with the given parameters.
MkCoPEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: Defines the requirements for an entry in an MkCop-Tree node.
MkCoPLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: Represents an entry in a leaf node of a MkCoP-Tree.
MkCoPLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Empty constructor for serialization purposes.
MkCoPLeafEntry(Integer, D, ApproximationLine, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: Provides a new MkCoPLeafEntry with the given parameters.
MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: MkCopTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkCoPTree(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree: Constructor, adhering to Parameterizable
MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop: Represents a node in an MkCop-Tree.
MkCoPTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Empty constructor for Externalizable interface.
MkCoPTreeNode(PageFile<MkCoPTreeNode<O, D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode: Creates a MkCoPTreeNode object.
MkMaxDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax: Represents an entry in a directory node of an MkMaxTree.
MkMaxDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry: Empty constructor for serialization purposes.
MkMaxDirectoryEntry(Integer, D, Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry: Provides a new MkMaxDirectoryEntry with the given parameters.
MkMaxEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax: Defines the requirements for an entry in an MkMaxTreeNode.
MkMaxLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax: Represents an entry in a leaf node of an MkMaxTree.
MkMaxLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry: Empty constructor for serialization purposes.
MkMaxLeafEntry(Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry: Provides a new MkMaxLeafEntry with the given parameters.
MkMaxTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax: MkMaxTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k <= k_max.
MkMaxTree(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Constructor, adhering to Parameterizable
MkMaxTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax: Represents a node in an MkMaxTree.
MkMaxTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode: Empty constructor for Externalizable interface.
MkMaxTreeNode(PageFile<MkMaxTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode: Creates a new MkMaxTreeNode object.
MkTabDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab: Represents an entry in a directory node of a MkTab-Tree.
MkTabDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry: Empty constructor for serialization purposes.
MkTabDirectoryEntry(Integer, D, Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry: Provides a new MkMaxDirectoryEntry with the given parameters.
MkTabEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab: Defines the requirements for an entry in an MkCop-Tree node.
MkTabLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab: Represents an entry in a leaf node of a MkTab-Tree.
MkTabLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry: Empty constructor for serialization purposes.
MkTabLeafEntry(Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry: Provides a new MkMaxLeafEntry with the given parameters.
MkTabTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab: MkTabTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkTabTree(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree: Constructor, adhering to Parameterizable
MkTabTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab: Represents a node in a MkMax-Tree.
MkTabTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode: Empty constructor for Externalizable interface.
MkTabTreeNode(PageFile<MkTabTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode: Creates a MkTabTreeNode object.
MkTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees: Encapsulates the header information for subclasses of AbstractMkTree.
MkTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Empty constructor for serialization.
MkTreeHeader(int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader: Creates a nerw header with the specified parameters.
MLBDistSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split: Encapsulates the required methods for a split of a node in an M-Tree.
MLBDistSplit(N, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MLBDistSplit: Creates a new split object.
mlogmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling: Minimum value (after log step, so maximum again)
mlogmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling: Maximum -log value seen, set by OutlierMinusLogScaling.prepare(de.lmu.ifi.dbs.elki.database.Database, de.lmu.ifi.dbs.elki.result.Result, de.lmu.ifi.dbs.elki.result.outlier.OutlierResult)
MMOD_OFLAG - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture: The association id to associate the MMOD_OFLAF of an object for the GaussianUniformMixture algorithm.
mode - Variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite: Blending mode to use.
model - Variable in class de.lmu.ifi.dbs.elki.data.cluster.Cluster: Cluster model.
Model - Interface in de.lmu.ifi.dbs.elki.data.model: Base interface for Model classes.
modelHeight - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
modelQuality - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
models - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SOD.SODProxyScoreResult: Model result this is a proxy for.
modelWidth - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
ModifiableHyperBoundingBox - Class in de.lmu.ifi.dbs.elki.utilities: MBR class allowing modifications (as opposed to HyperBoundingBox).
ModifiableHyperBoundingBox() - Constructor for class de.lmu.ifi.dbs.elki.utilities.ModifiableHyperBoundingBox: Constructor
ModifiableHyperBoundingBox(HyperBoundingBox) - Constructor for class de.lmu.ifi.dbs.elki.utilities.ModifiableHyperBoundingBox: Uses the references to the fields in hbb as min, max fields.
ModifiableHyperBoundingBox(double[], double[]) - Constructor for class de.lmu.ifi.dbs.elki.utilities.ModifiableHyperBoundingBox: Creates a ModifiableHyperBoundingBox for the given hyper points.
MODIFICATION_WARNING - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
MODIFICATION_WARNING - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences
moveAll(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap: Moves all elements from this deap into the specified deap.
moveTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath: Move to the given coordinates.
MRadSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split: Encapsulates the required methods for a split of a node in an M-Tree.
MRadSplit(N, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MRadSplit: Creates a new split object.
msgformat - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Formatter for regular messages (informational records)
msgformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler: Formatter for regular messages (informational records)
msgStyle - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane: Regular message style
MTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree: MTree is a metrical index structure based on the concepts of the M-Tree.
MTree(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree: Constructor, adhering to Parameterizable
MTreeDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants: Represents an entry in a directory node of an M-Tree.
MTreeDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Empty constructor for serialization purposes.
MTreeDirectoryEntry(Integer, D, Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry: Provides a new MTreeDirectoryEntry with the given parameters.
MTreeEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants: Defines the requirements for an entry in an M-Tree node.
MTreeLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants: Represents an entry in a leaf node of an M-Tree.
MTreeLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Empty constructor for serialization purposes.
MTreeLeafEntry(Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: Provides a new MTreeLeafEntry object with the given parameters.
MTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree: Represents a node in an M-Tree.
MTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode: Empty constructor for Externalizable interface.
MTreeNode(PageFile<MTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode: Creates a new MTreeNode with the specified parameters.
MTreeSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split: Abstract super class for splitting a node in an M-Tree.
MTreeSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit
MU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO: OptionID for HiCO.MU_PARAM.
MU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: OptionID for DiSH.MU_PARAM
MU_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO: Parameter to specify the smoothing factor, must be an integer greater than 0.
MU_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH: Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.
MultiInstanceObject<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.data: MultiInstanceObject represents a collection of several DatabaseObjects of an equal type.
MultiInstanceObject(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.data.MultiInstanceObject: Provides a MultiInstanceObject comprising the specified members.
multiple - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering: Holds the value of ByLabelClustering.MULTIPLE_FLAG.
MULTIPLE_FLAG - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering: Flag to indicate that multiple cluster assignment is possible.
MULTIPLE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering: OptionID for ByLabelClustering.MULTIPLE_FLAG
multipleAssignment(Database<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ByLabelClustering: Assigns the objects of the database to multiple clusters according to their labels.
MultipleFileBasedDatabaseConnection<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.database.connection: Provides a database connection based on multiple files and parsers to be set.
MultipleFileBasedDatabaseConnection(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection: Constructor, adhering to Parameterizable
MultipleFilesOutput - Class in de.lmu.ifi.dbs.elki.result.textwriter: Manage output to multiple files.
MultipleFilesOutput(File) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Constructor
MultipleFilesOutput(File, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput: Constructor
MultipleLinearRegression - Class in de.lmu.ifi.dbs.elki.math.statistics: Multiple linear regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data.
MultipleLinearRegression(Vector, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression: Provides a new multiple linear regression model with the specified parameters.
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.BitVector: Returns a bit vector equal to this bit vector, if k is not 0, a bit vector with all components equal to zero otherwise.
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
multiplicate(double) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector: Returns a new NumberVector of V that is the result of a scalar multiplication with the given scalar.
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector: Provides a new SparseFloatVector as result of the multiplication of this SparseFloatVector by the scalar k.
multiplicativeInverse() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber: Returns the multiplicative inverse of this RationalNumber if it exists.
MultiplicativeInverseScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier: Scaling function to invert values basically by computing 1/x, but in a variation that maps the values to the [0:1] interval and avoiding division by 0.
MultiplicativeInverseScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MultiplicativeInverseScaling: Constructor, adhering to Parameterizable
MULTIPLY - Static variable in class de.lmu.ifi.dbs.elki.data.images.BlendComposite: "Multiply" blending.
MultiRepresentedObject<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.data: MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.
MultiRepresentedObject(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.data.MultiRepresentedObject: Provides a MultiRepresentedObject comprising the specified representations.
MultiRepresentedObjectNormalization<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.normalization: Class to perform and undo a normalization on multi-represented objects with respect to given normalizations for each representation.
MultiRepresentedObjectNormalization(Parameterization) - Constructor for class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization: Constructor, adhering to Parameterizable
MultiResult - Class in de.lmu.ifi.dbs.elki.result: MultiResult is a result collection class.
MultiResult(ArrayList<Result>) - Constructor for class de.lmu.ifi.dbs.elki.result.MultiResult: Constructor
MultiResult() - Constructor for class de.lmu.ifi.dbs.elki.result.MultiResult: Constructor