Uses of Interface
elki.database.datastore.WritableDataStore

Packages that use WritableDataStore

Package	Description
elki.algorithm	Miscellaneous algorithms.
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.parallel	Parallel versions of Generalized DBSCAN.
elki.clustering.em	Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).
elki.clustering.kmeans	K-means clustering and variations.
elki.clustering.kmeans.spherical	Spherical k-means clustering and variations.
elki.clustering.silhouette	Silhouette clustering algorithms.
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.
elki.database.datastore	General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
elki.database.datastore.memory	Memory data store implementation for ELKI.
elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
elki.index.preprocessed.snn	Indexes providing nearest neighbor sets.
elki.outlier	Outlier detection algorithms.
elki.outlier.lof	LOF family of outlier detection algorithms.
elki.parallel.processor	Processor API of ELKI, and some essential shared processors.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

Uses of WritableDataStore in elki.algorithm

Methods in elki.algorithm that return WritableDataStore

Modifier and Type	Method	Description
WritableDataStore<KNNList>	KNNJoin.run(Relation<? extends SpatialComparable> relation, DBIDs ids)	Inner run method.
WritableDataStore<KNNList>	KNNJoin.run(AbstractRStarTree<?,?,?> idx, DBIDs ids)	Inner run method.

Uses of WritableDataStore in elki.clustering.correlation

Fields in elki.clustering.correlation declared as WritableDataStore

Modifier and Type	Field	Description
protected WritableDataStore<PCAFilteredResult>	HiCO.Instance.localPCAs	The storage for precomputed local PCAs

Uses of WritableDataStore in elki.clustering.dbscan

Fields in elki.clustering.dbscan declared as WritableDataStore

Modifier and Type	Field	Description
private WritableDataStore<Assignment>	GriDBSCAN.Instance.clusterids	Cluster assignments.

Methods in elki.clustering.dbscan with parameters of type WritableDataStore

Modifier and Type	Method	Description
protected void	GriDBSCAN.Instance.mergeClusterInformation(ModifiableDBIDs cellids, WritableIntegerDataStore temporary, WritableDataStore<Assignment> clusterids)	Merge cluster information.

Uses of WritableDataStore in elki.clustering.dbscan.parallel

Fields in elki.clustering.dbscan.parallel declared as WritableDataStore

Modifier and Type	Field	Description
private WritableDataStore<Assignment>	ParallelGeneralizedDBSCAN.Instance.clusterids	Cluster assignment storage.

Uses of WritableDataStore in elki.clustering.em

Methods in elki.clustering.em with parameters of type WritableDataStore

Modifier and Type	Method	Description
double	BetulaGMM.assignProbabilitiesToInstances(Relation<? extends NumberVector> relation, java.util.List<? extends BetulaClusterModel> models, WritableDataStore<double[]> probClusterIGivenX)	Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
static <O> double	EM.assignProbabilitiesToInstances(Relation<? extends O> relation, java.util.List<? extends EMClusterModel<? super O,?>> models, WritableDataStore<double[]> probClusterIGivenX, WritableDoubleDataStore loglikelihoods)	Assigns the current probability values to the instances in the database and compute the expectation value of the current mixture of distributions.
private double	KDTreeEM.makeStats(KDTreeEM.KDTree node, int[] indices, WritableDataStore<double[]> probs)	Calculates the statistics on the kd-tree needed for the calculation of the new models
static <O> void	EM.recomputeCovarianceMatrices(Relation<? extends O> relation, WritableDataStore<double[]> probClusterIGivenX, java.util.List<? extends EMClusterModel<? super O,?>> models, double prior)	Recompute the covariance matrixes.

Uses of WritableDataStore in elki.clustering.kmeans

Fields in elki.clustering.kmeans declared as WritableDataStore

Modifier and Type	Field	Description
(package private) WritableDataStore<double[]>	SimplifiedElkanKMeans.Instance.lower	Lower bounds
(package private) WritableDataStore<double[]>	YinYangKMeans.Instance.lower	Lower bounds

Methods in elki.clustering.kmeans with parameters of type WritableDataStore

Modifier and Type	Method	Description
double	FuzzyCMeans.assignProbabilitiesToInstances(Relation<V> relation, double[][] centers, WritableDataStore<double[]> probClusterIGivenX)	Calculates the weights of all points and clusters.
private double	FuzzyCMeans.updateMeans(Relation<V> relation, WritableDataStore<double[]> probClusterIGivenX, double[][] means, int d)	Updates the means according to the weighted means of all data points.

Uses of WritableDataStore in elki.clustering.kmeans.spherical

Fields in elki.clustering.kmeans.spherical declared as WritableDataStore

Modifier and Type	Field	Description
(package private) WritableDataStore<double[]>	EuclideanSphericalSimplifiedElkanKMeans.Instance.lower	Lower bounds
(package private) WritableDataStore<double[]>	SphericalSimplifiedElkanKMeans.Instance.usim	Similarity upper bound.

Uses of WritableDataStore in elki.clustering.silhouette

Fields in elki.clustering.silhouette declared as WritableDataStore

Modifier and Type	Field	Description
protected WritableDataStore<FastMSC.Record>	FastMSC.Instance.assignment	Distances and nearest medoids.

Uses of WritableDataStore in elki.clustering.subspace

Fields in elki.clustering.subspace declared as WritableDataStore

Modifier and Type	Field	Description
private WritableDataStore<long[]>	DiSH.DiSHClusterOrder.commonPreferenceVectors	Preference vectors.
private WritableDataStore<long[]>	DiSH.Instance.commonPreferenceVectors	Shared preference vectors.
private WritableDataStore<long[]>	HiSC.Instance.commonPreferenceVectors	Shared preference vectors.
protected WritableDataStore<long[]>	DiSH.Instance.preferenceVectors	The precomputed preference vectors.
protected WritableDataStore<long[]>	HiSC.Instance.preferenceVectors	The data store.
private WritableDataStore<long[]>	DiSH.Instance.tmpPreferenceVectors	Temporary storage for new preference vectors.

Methods in elki.clustering.subspace with parameters of type WritableDataStore

Modifier and Type	Method	Description
private void	P3C.assignUnassigned(Relation<? extends NumberVector> relation, WritableDataStore<double[]> probClusterIGivenX, java.util.List<MultivariateGaussianModel> models, ModifiableDBIDs unassigned)	Assign unassigned objects to best candidate based on shortest Mahalanobis distance.
private void	P3C.computeFuzzyMembership(Relation<? extends NumberVector> relation, java.util.ArrayList<P3C.Signature> clusterCores, ModifiableDBIDs unassigned, WritableDataStore<double[]> probClusterIGivenX, java.util.List<MultivariateGaussianModel> models, int dim)	Computes a fuzzy membership with the weights based on which cluster cores each data point is part of.
private java.util.ArrayList<P3C.ClusterCandidate>	P3C.hardClustering(WritableDataStore<double[]> probClusterIGivenX, java.util.List<P3C.Signature> clusterCores, DBIDs dbids)	Creates a hard clustering from the specified soft membership matrix.

Constructors in elki.clustering.subspace with parameters of type WritableDataStore

Constructor	Description
DiSHClusterOrder(ArrayModifiableDBIDs ids, WritableDoubleDataStore reachability, WritableDBIDDataStore predecessor, WritableIntegerDataStore corrdim, WritableDataStore<long[]> commonPreferenceVectors)	Constructor.

Uses of WritableDataStore in elki.database.datastore

Subinterfaces of WritableDataStore in elki.database.datastore

Modifier and Type	Interface	Description
interface	WritableDBIDDataStore	Data store specialized for doubles.
interface	WritableDoubleDataStore	Data store specialized for doubles.
interface	WritableIntegerDataStore	Data store specialized for doubles.

Methods in elki.database.datastore that return WritableDataStore

Modifier and Type	Method	Description
<T> WritableDataStore<T>	WritableRecordStore.getStorage(int col, java.lang.Class<? super T> datatype)	Get a WritableDataStore instance for a particular record column.
<T> WritableDataStore<T>	DataStoreFactory.makeStorage(DBIDs ids, int hints, java.lang.Class<? super T> dataclass)	Make a new storage, to associate the given ids with an object of class dataclass.
static <T> WritableDataStore<T>	DataStoreUtil.makeStorage(DBIDs ids, int hints, java.lang.Class<? super T> dataclass)	Make a new storage, to associate the given ids with an object of class dataclass.

Uses of WritableDataStore in elki.database.datastore.memory

Classes in elki.database.datastore.memory that implement WritableDataStore

Modifier and Type	Class	Description
class	ArrayDBIDStore	A class to answer representation queries using the stored Array.
class	ArrayDoubleStore	A class to answer representation queries using the stored Array.
class	ArrayIntegerStore	A class to answer representation queries using the stored Array.
protected class	ArrayRecordStore.StorageAccessor<T>	Access a single record in the given data.
class	ArrayStore<T>	A class to answer representation queries using the stored Array.
class	MapIntegerDBIDDBIDStore	Writable data store for double values.
class	MapIntegerDBIDDoubleStore	Writable data store for double values.
class	MapIntegerDBIDIntegerStore	Writable data store for double values.
protected class	MapIntegerDBIDRecordStore.StorageAccessor<T>	Access a single record in the given data.
class	MapIntegerDBIDStore<T>	A class to answer representation queries using a map.
protected class	MapRecordStore.StorageAccessor<T>	Access a single record in the given data.
(package private) class	MapStore<T>	A class to answer representation queries using a map.

Methods in elki.database.datastore.memory that return WritableDataStore

Modifier and Type	Method	Description
<T> WritableDataStore<T>	ArrayRecordStore.getStorage(int col, java.lang.Class<? super T> datatype)
<T> WritableDataStore<T>	MapIntegerDBIDRecordStore.getStorage(int col, java.lang.Class<? super T> datatype)
<T> WritableDataStore<T>	MapRecordStore.getStorage(int col, java.lang.Class<? super T> datatype)
<T> WritableDataStore<T>	MemoryDataStoreFactory.makeStorage(DBIDs ids, int hints, java.lang.Class<? super T> dataclass)

Uses of WritableDataStore in elki.index.preprocessed.knn

Fields in elki.index.preprocessed.knn declared as WritableDataStore

Modifier and Type	Field	Description
(package private) WritableDataStore<int[]>	NaiveProjectedKNNPreprocessor.positions	Curve position storage
(package private) WritableDataStore<int[]>	SpacefillingKNNPreprocessor.positions	Curve position storage
protected WritableDataStore<KNNList>	AbstractMaterializeKNNPreprocessor.storage	The data store.
private WritableDataStore<ModifiableDoubleDBIDList>	MaterializeKNNAndRKNNPreprocessor.storageRkNN	Additional data storage for RkNN.
private WritableDataStore<KNNHeap>	NNDescent.store	store for neighbors

Methods in elki.index.preprocessed.knn with parameters of type WritableDataStore

Modifier and Type	Method	Description
private void	NNDescent.addpair(WritableDataStore<HashSetModifiableDBIDs> newNeighbors, DBIDRef o1, DBIDRef o2)
private void	NNDescent.clearAll(DBIDs ids, WritableDataStore<HashSetModifiableDBIDs> sets)	Clear (but reuse) all sets in the given storage.
private int	NNDescent.processNewNeighbors(WritableDataStore<HashSetModifiableDBIDs> flag, HashSetModifiableDBIDs newFwd, HashSetModifiableDBIDs oldFwd, HashSetModifiableDBIDs newRev, HashSetModifiableDBIDs oldRev)	Process new neighbors.
private void	NNDescent.reverse(WritableDataStore<HashSetModifiableDBIDs> sampleNewHash, WritableDataStore<HashSetModifiableDBIDs> newReverseNeighbors, WritableDataStore<HashSetModifiableDBIDs> oldReverseNeighbors)	calculates new and old neighbors for database
private int	NNDescent.sampleNew(DBIDs ids, WritableDataStore<HashSetModifiableDBIDs> sampleNewNeighbors, WritableDataStore<HashSetModifiableDBIDs> newNeighborHash, int items)	samples newNeighbors for every object

Uses of WritableDataStore in elki.index.preprocessed.snn

Fields in elki.index.preprocessed.snn declared as WritableDataStore

Modifier and Type	Field	Description
protected WritableDataStore<ArrayDBIDs>	SharedNearestNeighborPreprocessor.storage	The data store.

Uses of WritableDataStore in elki.outlier

Methods in elki.outlier with parameters of type WritableDataStore

Modifier and Type	Method	Description
private void	DWOF.clusterData(DBIDs ids, RangeSearcher<DBIDRef> rnnQuery, WritableDoubleDataStore radii, WritableDataStore<ModifiableDBIDs> labels)	This method applies a density based clustering algorithm.
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 WritableDataStore in elki.outlier.lof

Methods in elki.outlier.lof with parameters of type WritableDataStore

Modifier and Type	Method	Description
protected void	INFLO.computeINFLO(Relation<O> relation, ModifiableDBIDs pruned, KNNSearcher<DBIDRef> knnq, WritableDataStore<ModifiableDBIDs> rNNminuskNNs, WritableDoubleDataStore inflos, DoubleMinMax inflominmax)	Compute the final INFLO scores.
private void	INFLO.computeNeighborhoods(Relation<O> relation, DataStore<SetDBIDs> knns, ModifiableDBIDs pruned, WritableDataStore<ModifiableDBIDs> rNNminuskNNs)	Compute the reverse kNN minus the kNN.
protected void	KDEOS.computeOutlierScores(KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDataStore<double[]> densities, WritableDoubleDataStore kdeos, DoubleMinMax minmax)	Compute the final KDEOS scores.
protected void	KDEOS.estimateDensities(Relation<O> rel, KNNSearcher<DBIDRef> knnq, DBIDs ids, WritableDataStore<double[]> densities)	Perform the kernel density estimation step.
protected void	LOCI.precomputeInterestingRadii(DBIDs ids, RangeSearcher<DBIDRef> rangeQuery, WritableDataStore<LOCI.DoubleIntArrayList> interestingDistances)	Preprocessing step: determine the radii of interest for each point.

Uses of WritableDataStore in elki.parallel.processor

Fields in elki.parallel.processor declared as WritableDataStore

Modifier and Type	Field	Description
(package private) WritableDataStore<T>	WriteDataStoreProcessor.store	Store to write to

Constructors in elki.parallel.processor with parameters of type WritableDataStore

Constructor	Description
WriteDataStoreProcessor(WritableDataStore<T> store)	Constructor.

Uses of WritableDataStore in tutorial.clustering

Methods in tutorial.clustering that return WritableDataStore

Modifier and Type	Method	Description
protected WritableDataStore<SameSizeKMeans.Meta>	SameSizeKMeans.initializeMeta(Relation<V> relation, double[][] means)	Initialize the metadata storage.

Methods in tutorial.clustering with parameters of type WritableDataStore

Modifier and Type	Method	Description
protected ArrayModifiableDBIDs	SameSizeKMeans.initialAssignment(java.util.List<ModifiableDBIDs> clusters, WritableDataStore<SameSizeKMeans.Meta> metas, DBIDs ids)
protected double[][]	SameSizeKMeans.refineResult(Relation<V> relation, double[][] means, java.util.List<ModifiableDBIDs> clusters, WritableDataStore<SameSizeKMeans.Meta> metas, ArrayModifiableDBIDs tids)	Perform k-means style iterations to improve the clustering result.
protected void	SameSizeKMeans.transfer(WritableDataStore<SameSizeKMeans.Meta> metas, SameSizeKMeans.Meta meta, ModifiableDBIDs src, ModifiableDBIDs dst, DBIDRef id, int dstnum)	Transfer a single element from one cluster to another.
protected void	SameSizeKMeans.updateDistances(Relation<V> relation, double[][] means, WritableDataStore<SameSizeKMeans.Meta> metas, NumberVectorDistance<? super V> df)	Compute the distances of each object to all means.