Uses of Interface
de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore

Packages that use WritableIntegerDataStore

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN Generalized DBSCAN is an abstraction of the original DBSCAN idea, that allows the use of arbitrary "neighborhood" and "core point" predicates.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel	Parallelized implementations of k-means.
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain	Clustering algorithms for uncertain data.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.database.datastore	General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
de.lmu.ifi.dbs.elki.database.datastore.memory	Memory data store implementation for ELKI.
de.lmu.ifi.dbs.elki.parallel.processor	Processor API of ELKI, and some essential shared processors.
de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind	Union-find data structures.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as WritableIntegerDataStore

Modifier and Type	Field and Description
private WritableIntegerDataStore	GriDBSCAN.Instance.temporary Temporary assignments of a single run.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type WritableIntegerDataStore

Modifier and Type	Method and Description
protected int	GriDBSCAN.Instance.expandCluster(DBIDRef seed, int clusterid, WritableIntegerDataStore clusterids, ModifiableDoubleDBIDList neighbors, ArrayModifiableDBIDs activeSet, RangeQuery<V> rq, FiniteProgress pprog) Set-based expand cluster implementation.
protected void	GriDBSCAN.Instance.mergeClusterInformation(ModifiableDBIDs cellids, WritableIntegerDataStore temporary, WritableDataStore<Assignment> clusterids) Merge cluster information.
protected int	GriDBSCAN.Instance.processCorePoint(DBIDRef seed, DoubleDBIDList newneighbors, int clusterid, WritableIntegerDataStore clusterids, ArrayModifiableDBIDs activeSet) Process a single core point.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as WritableIntegerDataStore

Modifier and Type	Field and Description
private WritableIntegerDataStore	HiCO.Instance.correlationValue Correlation value.
private WritableIntegerDataStore	HiCO.Instance.tmpCorrelation Temporary storage of correlation values.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan with parameters of type WritableIntegerDataStore

Modifier and Type	Method and Description
protected int	GeneralizedDBSCAN.Instance.expandCluster(DBIDRef seed, int clusterid, WritableIntegerDataStore clusterids, T neighbors, ArrayModifiableDBIDs activeSet, FiniteProgress progress) Set-based expand cluster implementation.
protected int	LSDBC.expandCluster(int clusterid, WritableIntegerDataStore clusterids, KNNQuery<O> knnq, DBIDs neighbors, double maxkdist, FiniteProgress progress) Set-based expand cluster implementation.
protected int	GeneralizedDBSCAN.Instance.processCorePoint(DBIDRef seed, T newneighbors, int clusterid, WritableIntegerDataStore clusterids, ArrayModifiableDBIDs activeSet) Process a single core point.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical declared as WritableIntegerDataStore

Modifier and Type	Field and Description
protected WritableIntegerDataStore	PointerHierarchyRepresentationBuilder.csize Cluster size storage.
protected WritableIntegerDataStore	PointerHierarchyRepresentationBuilder.order Store merge order.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical that return WritableIntegerDataStore

Modifier and Type	Method and Description
private WritableIntegerDataStore	PointerHierarchyRepresentationResult.computeSubtreeSizes(DBIDs order) Compute the size of all subtrees.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction declared as WritableIntegerDataStore

Modifier and Type	Field and Description
protected WritableIntegerDataStore	AbstractCutDendrogram.Instance.cluster_map Map clusters to integer cluster numbers.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction with parameters of type WritableIntegerDataStore

Modifier and Type	Method and Description
private int	ClustersWithNoiseExtraction.Instance.mergeClusterSizes(WritableIntegerDataStore clustersizes, DBIDRef it, DBIDRef succ) Merge two clusters, size only.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans declared as WritableIntegerDataStore

Modifier and Type	Field and Description
protected WritableIntegerDataStore	AbstractKMeans.Instance.assignment A mapping of elements to cluster ids.
(package private) WritableIntegerDataStore	KMedoidsPAM.Instance.assignment Cluster mapping.
(package private) WritableIntegerDataStore	CLARANS.Assignment.assignment Cluster mapping.
(package private) WritableIntegerDataStore	KMeansAnnulus.Instance.second Second nearest cluster.
(package private) WritableIntegerDataStore	KMeansExponion.Instance.second Second nearest cluster.
(package private) WritableIntegerDataStore	CLARANS.Assignment.secondid Medoid id of the second closest.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans with parameters of type WritableIntegerDataStore

Modifier and Type	Method and Description
(package private) static double	CLARA.assignRemainingToNearestCluster(ArrayDBIDs means, DBIDs ids, DBIDs rids, WritableIntegerDataStore assignment, DistanceQuery<?> distQ) Returns a list of clusters.
protected void	KMedoidsFastPAM.run(DistanceQuery<V> distQ, DBIDs ids, ArrayModifiableDBIDs medoids, WritableIntegerDataStore assignment)
protected void	KMedoidsFastPAM1.run(DistanceQuery<V> distQ, DBIDs ids, ArrayModifiableDBIDs medoids, WritableIntegerDataStore assignment)
protected void	KMedoidsPAM.run(DistanceQuery<V> distQ, DBIDs ids, ArrayModifiableDBIDs medoids, WritableIntegerDataStore assignment) Run the main algorithm.
protected void	KMedoidsPAMReynolds.run(DistanceQuery<V> distQ, DBIDs ids, ArrayModifiableDBIDs medoids, WritableIntegerDataStore assignment)

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans with parameters of type WritableIntegerDataStore

Constructor and Description
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment) Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment) Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment) Constructor.
Instance(DistanceQuery<?> distQ, DBIDs ids, WritableIntegerDataStore assignment, double fasttol) Constructor.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel declared as WritableIntegerDataStore

Modifier and Type	Field and Description
(package private) WritableIntegerDataStore	KMeansProcessor.assignment Assignment storage.
private WritableIntegerDataStore	KMeansProcessor.Instance.assignment Cluster assignment storage.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel with parameters of type WritableIntegerDataStore

Constructor and Description
Instance(Relation<V> relation, NumberVectorDistanceFunction<? super V> distance, WritableIntegerDataStore assignment, double[][] means) Constructor.
KMeansProcessor(Relation<V> relation, NumberVectorDistanceFunction<? super V> distance, WritableIntegerDataStore assignment, double[] varsum) Constructor.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.optics declared as WritableIntegerDataStore

Modifier and Type	Field and Description
protected WritableIntegerDataStore	CorrelationClusterOrder.correlationValue The correlation dimension.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.optics with parameters of type WritableIntegerDataStore

Constructor and Description
CorrelationClusterOrder(java.lang.String name, java.lang.String shortname, ArrayModifiableDBIDs ids, WritableDoubleDataStore reachability, WritableDBIDDataStore predecessor, WritableIntegerDataStore corrdim) Constructor.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as WritableIntegerDataStore

Modifier and Type	Field and Description
private WritableIntegerDataStore	DiSH.Instance.correlationValue Correlation value.
private WritableIntegerDataStore	HiSC.Instance.correlationValue Correlation dimensionality.
private WritableIntegerDataStore	DiSH.Instance.tmpCorrelation Temporary storage of correlation values.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type WritableIntegerDataStore

Constructor and Description
DiSHClusterOrder(java.lang.String name, java.lang.String shortname, ArrayModifiableDBIDs ids, WritableDoubleDataStore reachability, WritableDBIDDataStore predecessor, WritableIntegerDataStore corrdim, WritableDataStore<long[]> commonPreferenceVectors) Constructor.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain with parameters of type WritableIntegerDataStore

Modifier and Type	Method and Description
protected boolean	UKMeans.assignToNearestCluster(Relation<DiscreteUncertainObject> relation, java.util.List<double[]> means, java.util.List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] varsum) Returns a list of clusters.
protected boolean	UKMeans.updateAssignment(DBIDIter iditer, java.util.List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, int newA) Update the cluster assignment.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.algorithm.outlier

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type WritableIntegerDataStore

Modifier and Type	Method and Description
private int	DWOF.updateSizes(DBIDs ids, WritableDataStore<ModifiableDBIDs> labels, WritableIntegerDataStore newSizes) This method updates each object's cluster size after the clustering step.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.database.datastore

Methods in de.lmu.ifi.dbs.elki.database.datastore that return WritableIntegerDataStore

Modifier and Type	Method and Description
static WritableIntegerDataStore	DataStoreUtil.makeIntegerStorage(DBIDs ids, int hints) Make a new storage, to associate the given ids with an object of class dataclass.
WritableIntegerDataStore	DataStoreFactory.makeIntegerStorage(DBIDs ids, int hints) Make a new storage, to associate the given ids with an object of class dataclass.
static WritableIntegerDataStore	DataStoreUtil.makeIntegerStorage(DBIDs ids, int hints, int def) Make a new storage, to associate the given ids with an object of class dataclass.
WritableIntegerDataStore	DataStoreFactory.makeIntegerStorage(DBIDs ids, int hints, int def) Make a new storage, to associate the given ids with an object of class dataclass.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.database.datastore.memory

Classes in de.lmu.ifi.dbs.elki.database.datastore.memory that implement WritableIntegerDataStore

Modifier and Type	Class and Description
class	ArrayIntegerStore A class to answer representation queries using the stored Array.
class	MapIntegerDBIDIntegerStore Writable data store for double values.

Methods in de.lmu.ifi.dbs.elki.database.datastore.memory that return WritableIntegerDataStore

Modifier and Type	Method and Description
WritableIntegerDataStore	MemoryDataStoreFactory.makeIntegerStorage(DBIDs ids, int hints)
WritableIntegerDataStore	MemoryDataStoreFactory.makeIntegerStorage(DBIDs ids, int hints, int def)

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.parallel.processor

Fields in de.lmu.ifi.dbs.elki.parallel.processor declared as WritableIntegerDataStore

Modifier and Type	Field and Description
(package private) WritableIntegerDataStore	WriteIntegerDataStoreProcessor.store Store to write to

Constructors in de.lmu.ifi.dbs.elki.parallel.processor with parameters of type WritableIntegerDataStore

Constructor and Description
WriteIntegerDataStoreProcessor(WritableIntegerDataStore store) Constructor.

Uses of WritableIntegerDataStore in de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind

Fields in de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind declared as WritableIntegerDataStore

Modifier and Type	Field and Description
private WritableIntegerDataStore	WeightedQuickUnionStaticDBIDs.index Index, to map DBID to offset.