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

Packages that use WritableIntegerDataStore

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
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.

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

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

Modifier and Type	Method and Description
protected int	AnderbergHierarchicalClustering.findMerge(int size, double[] scratch, DBIDArrayIter ix, DBIDArrayIter iy, double[] bestd, int[] besti, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableIntegerDataStore csize) Perform the next merge step.
protected int	AGNES.findMerge(int size, double[] scratch, DBIDArrayIter ix, DBIDArrayIter iy, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableIntegerDataStore csize) Perform the next merge step in AGNES.
protected void	AnderbergHierarchicalClustering.merge(int size, double[] scratch, DBIDArrayIter ix, DBIDArrayIter iy, double[] bestd, int[] besti, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableIntegerDataStore csize, double mindist, int x, int y) Execute the cluster merge.
protected void	AGNES.merge(int size, double[] scratch, DBIDArrayIter ix, DBIDArrayIter iy, WritableDBIDDataStore pi, WritableDoubleDataStore lambda, WritableIntegerDataStore csize, double mindist, int x, int y) Execute the cluster merge.
protected void	AnderbergHierarchicalClustering.updateMatrix(int size, double[] scratch, DBIDArrayIter ij, double[] bestd, int[] besti, WritableDoubleDataStore lambda, WritableIntegerDataStore csize, double mindist, int x, int y, int sizex, int sizey) Update the scratch distance matrix.
protected void	AGNES.updateMatrix(int size, double[] scratch, DBIDArrayIter ij, WritableDoubleDataStore lambda, WritableIntegerDataStore csize, double mindist, int x, int y, int sizex, int sizey) Update the scratch distance matrix.

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

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

Modifier and Type	Method and Description
protected double	CLARA.assignRemainingToNearestCluster(ArrayDBIDs means, DBIDs ids, DBIDs rids, WritableIntegerDataStore assignment, DistanceQuery<V> distQ) Returns a list of clusters.
protected double	KMedoidsPAM.assignToNearestCluster(ArrayDBIDs means, DBIDs ids, WritableDoubleDataStore nearest, WritableDoubleDataStore second, WritableIntegerDataStore assignment, DistanceQuery<V> distQ) Returns a list of clusters.
protected boolean	AbstractKMeans.assignToNearestCluster(Relation<? extends V> relation, List<? extends NumberVector> means, List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] varsum) Returns a list of clusters.
protected boolean	KMeansBatchedLloyd.assignToNearestCluster(Relation<V> relation, DBIDs ids, List<? extends NumberVector> oldmeans, double[][] meanshift, int[] changesize, List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] varsum) Returns a list of clusters.
private int	KMeansElkan.assignToNearestCluster(Relation<V> relation, List<Vector> means, List<Vector> sums, List<ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] sep, double[][] cdist, WritableDoubleDataStore upper, WritableDataStore<double[]> lower) Reassign objects, but only if their bounds indicate it is necessary to do so.
private int	KMeansHamerly.assignToNearestCluster(Relation<V> relation, List<Vector> means, List<Vector> sums, List<ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] sep, WritableDoubleDataStore upper, WritableDoubleDataStore lower) Reassign objects, but only if their bounds indicate it is necessary to do so.
private int	KMeansElkan.initialAssignToNearestCluster(Relation<V> relation, List<Vector> means, List<Vector> sums, List<ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, WritableDoubleDataStore upper, WritableDataStore<double[]> lower) Reassign objects, but only if their bounds indicate it is necessary to do so.
private int	KMeansHamerly.initialAssignToNearestCluster(Relation<V> relation, List<Vector> means, List<Vector> sums, List<ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, WritableDoubleDataStore upper, WritableDoubleDataStore lower) Reassign objects, but only if their bounds indicate it is necessary to do so.
protected boolean	AbstractKMeans.macQueenIterate(Relation<V> relation, List<Vector> means, List<ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] varsum) Perform a MacQueen style iteration.
protected void	KMedoidsPAM.runPAMOptimization(DistanceQuery<V> distQ, DBIDs ids, ArrayModifiableDBIDs medoids, WritableIntegerDataStore assignment) Run the PAM optimization phase.
protected boolean	AbstractKMeans.updateAssignment(DBIDIter iditer, List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, int newA)
protected boolean	KMeansBatchedLloyd.updateAssignment(DBIDIter id, V fv, List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[][] meanshift, int[] changesize, int minIndex) Update the assignment of a single object.
private void	KMeansElkan.updateBounds(Relation<V> relation, WritableIntegerDataStore assignment, WritableDoubleDataStore upper, WritableDataStore<double[]> lower, double[] move) Update the bounds for k-means.
private void	KMeansHamerly.updateBounds(Relation<V> relation, WritableIntegerDataStore assignment, WritableDoubleDataStore upper, WritableDoubleDataStore lower, double[] move, double delta) Update the bounds for k-means.
private boolean	AbstractKMeans.updateMeanAndAssignment(List<ModifiableDBIDs> clusters, List<Vector> means, int minIndex, V fv, DBIDIter iditer, WritableIntegerDataStore assignment) Try to update the cluster assignment.

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, List<? extends NumberVector> 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(String name, 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(String name, 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, List<Vector> means, List<? extends ModifiableDBIDs> clusters, WritableIntegerDataStore assignment, double[] varsum) Returns a list of clusters.
protected boolean	UKMeans.updateAssignment(DBIDIter iditer, 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.