Uses of Class
tutorial.clustering.SameSizeKMeansAlgorithm.Meta

Packages that use SameSizeKMeansAlgorithm.Meta

Package	Description
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

Uses of SameSizeKMeansAlgorithm.Meta in tutorial.clustering

Fields in tutorial.clustering declared as SameSizeKMeansAlgorithm.Meta

Modifier and Type	Field and Description
(package private) SameSizeKMeansAlgorithm.Meta	SameSizeKMeansAlgorithm.PreferenceComparator.c Meta to use for comparison.

Methods in tutorial.clustering that return types with arguments of type SameSizeKMeansAlgorithm.Meta

Modifier and Type	Method and Description
protected WritableDataStore<SameSizeKMeansAlgorithm.Meta>	SameSizeKMeansAlgorithm.initializeMeta(Relation<V> relation, List<? extends NumberVector> means) Initialize the metadata storage.

Methods in tutorial.clustering with parameters of type SameSizeKMeansAlgorithm.Meta

Modifier and Type	Method and Description
IntegerComparator	SameSizeKMeansAlgorithm.PreferenceComparator.select(SameSizeKMeansAlgorithm.Meta c) Set the meta to sort by
protected void	SameSizeKMeansAlgorithm.transfer(WritableDataStore<SameSizeKMeansAlgorithm.Meta> metas, SameSizeKMeansAlgorithm.Meta meta, ModifiableDBIDs src, ModifiableDBIDs dst, DBIDRef id, Integer dstnum) Transfer a single element from one cluster to another.

Method parameters in tutorial.clustering with type arguments of type SameSizeKMeansAlgorithm.Meta

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