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

Packages that use WritableDataStore

de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
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.index.preprocessed	Index structure based on preprocessors
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.

Uses of WritableDataStore in de.lmu.ifi.dbs.elki.algorithm

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

private D

KNNJoin.processDataPages(DistanceQuery<V,D> distQ, N pr, N ps, WritableDataStore<KNNHeap<D>> knnLists, D pr_knn_distance) Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.

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

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

private WritableDataStore<D>	SLINK.lambda The values of the function Lambda of the pointer representation.
private WritableDataStore<DBID>	SLINK.pi The values of the function Pi of the pointer representation.
private WritableDataStore<double[]>	EM.probClusterIGivenX Store the individual probabilities, for use by EMOutlierDetection etc.

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

protected double	EM.assignProbabilitiesToInstances(Relation<V> database, List<Double> normDistrFactor, List<V> means, List<Matrix> invCovMatr, List<Double> clusterWeights, 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.
private void	SLINK.step2(DBID newID, DBIDs processedIDs, DistanceQuery<O,D> distFunc, WritableDataStore<D> m) Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.
private void	SLINK.step3(DBID newID, DBIDs processedIDs, WritableDataStore<D> m) Third step: Determine the values for P and L

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

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as WritableDataStore

private WritableDataStore<Double>	LOF.LOFResult.lofs The LOF values of the objects.
private WritableDataStore<Double>	LOF.LOFResult.lrds The LRD values of the objects.

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier that return WritableDataStore

protected WritableDataStore<Double>	LOF.computeLRDs(DBIDs ids, KNNQuery<O,D> knnReach) Computes the local reachability density (LRD) of the specified objects.
WritableDataStore<Double>	LOF.LOFResult.getLofs()
WritableDataStore<Double>	LOF.LOFResult.getLrds()

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier that return types with arguments of type WritableDataStore

protected Pair<WritableDataStore<Double>,DoubleMinMax>

LOF.computeLOFs(DBIDs ids, DataStore<Double> lrds, KNNQuery<O,D> knnRefer) Computes the Local outlier factor (LOF) of the specified objects.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type WritableDataStore

LOF.LOFResult(OutlierResult result, KNNQuery<O,D> kNNRefer, KNNQuery<O,D> kNNReach, WritableDataStore<Double> lrds, WritableDataStore<Double> lofs)
Encapsulates information generated during a run of the LOF algorithm.

LOF.LOFResult(OutlierResult result, KNNQuery<O,D> kNNRefer, KNNQuery<O,D> kNNReach, WritableDataStore<Double> lrds, WritableDataStore<Double> lofs)
Encapsulates information generated during a run of the LOF algorithm.

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

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

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

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

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

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.
protected class	MapRecordStore.StorageAccessor<T> Access a single record in the given data.
class	MapStore<T> A class to answer representation queries using a map.

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

<T> WritableDataStore<T>	MapRecordStore.getStorage(int col, Class<? super T> datatype)
<T> WritableDataStore<T>	ArrayRecordStore.getStorage(int col, Class<? super T> datatype)
<T> WritableDataStore<T>	MemoryDataStoreFactory.makeStorage(DBIDs ids, int hints, Class<? super T> dataclass)

Uses of WritableDataStore in de.lmu.ifi.dbs.elki.index.preprocessed

Fields in de.lmu.ifi.dbs.elki.index.preprocessed declared as WritableDataStore

protected WritableDataStore<R>

AbstractPreprocessorIndex.storage The data store

Uses of WritableDataStore in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.knn declared as WritableDataStore

private WritableDataStore<SortedSet<DistanceResultPair<D>>>

MaterializeKNNAndRKNNPreprocessor.materialized_RkNN Additional data storage for RkNN.