Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm

Packages that use MatrixParadigm

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).

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

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

Modifier and Type	Method and Description
MatrixParadigm	MatrixParadigm.initializeWithDistances(DistanceQuery<?> dq) Initialize a distance matrix.

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

Modifier and Type	Method and Description
protected static int	MiniMax.findMerge(int end, MatrixParadigm mat, DBIDArrayMIter prots, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, DistanceQuery<?> dq) Find the best merge.
protected int	MiniMaxAnderberg.findMerge(int size, MatrixParadigm mat, DBIDArrayMIter prots, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, double[] bestd, int[] besti, DistanceQuery<O> dq) Perform the next merge step.
protected int	AnderbergHierarchicalClustering.findMerge(int size, MatrixParadigm mat, double[] bestd, int[] besti, PointerHierarchyRepresentationBuilder builder) Perform the next merge step.
protected int	AGNES.findMerge(int end, MatrixParadigm mat, PointerHierarchyRepresentationBuilder builder) Perform the next merge step in AGNES.
protected static void	AGNES.initializeDistanceMatrix(MatrixParadigm mat, DistanceQuery<?> dq, Linkage linkage) Initialize a distance matrix.
protected static <O> void	MiniMax.initializeMatrices(MatrixParadigm mat, ArrayModifiableDBIDs prots, DistanceQuery<O> dq) Initializes the inter-cluster distance matrix of possible merges
protected static void	MiniMax.merge(int size, MatrixParadigm mat, DBIDArrayMIter prots, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, DistanceQuery<?> dq, int x, int y) Merges two clusters given by x, y, their points with smallest IDs, and y to keep
protected void	MiniMaxAnderberg.merge(int size, MatrixParadigm mat, DBIDArrayMIter prots, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, DistanceQuery<O> dq, double[] bestd, int[] besti, int x, int y) Execute the cluster merge
protected void	AnderbergHierarchicalClustering.merge(int size, MatrixParadigm mat, double[] bestd, int[] besti, PointerHierarchyRepresentationBuilder builder, double mindist, int x, int y) Execute the cluster merge.
protected void	AGNES.merge(int end, MatrixParadigm mat, PointerHierarchyRepresentationBuilder builder, double mindist, int x, int y) Execute the cluster merge.
private void	MiniMaxNNChain.nnChainCore(MatrixParadigm mat, DBIDArrayMIter prots, DistanceQuery<O> dq, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters) Uses NNChain as in "Modern hierarchical, agglomerative clustering algorithms" by Daniel Müllner
private void	NNChain.nnChainCore(MatrixParadigm mat, PointerHierarchyRepresentationBuilder builder) Uses NNChain as in "Modern hierarchical, agglomerative clustering algorithms" by Daniel Müllner
protected static void	MiniMax.updateEntry(MatrixParadigm mat, DBIDArrayMIter prots, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, DistanceQuery<?> dq, int x, int y) Update entry at x,y for distance matrix distances
private void	MiniMaxAnderberg.updateMatrices(int size, MatrixParadigm mat, DBIDArrayMIter prots, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, DistanceQuery<O> dq, double[] bestd, int[] besti, int x, int y) Update the entries of the matrices that contain a distance to y, the newly merged cluster.
protected static <O> void	MiniMax.updateMatrices(int size, MatrixParadigm mat, DBIDArrayMIter prots, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters, DistanceQuery<O> dq, int c) Update the entries of the matrices that contain a distance to c, the newly merged cluster.
protected void	AGNES.updateMatrix(int end, MatrixParadigm mat, PointerHierarchyRepresentationBuilder builder, double mindist, int x, int y, int sizex, int sizey) Update the scratch distance matrix.