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

Packages that use PointerHierarchyRepresentationBuilder

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

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

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

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.
static int	NNChain.findUnlinked(int pos, int end, DBIDArrayIter ix, PointerHierarchyRepresentationBuilder builder) Find an unlinked object.
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 int	AGNES.shrinkActiveSet(DBIDArrayIter ix, PointerHierarchyRepresentationBuilder builder, int end, int x) Shrink the active set: if the last x objects are all merged, we can reduce the working size accordingly.
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	AnderbergHierarchicalClustering.updateMatrix(int size, double[] scratch, DBIDArrayIter ij, double[] bestd, int[] besti, PointerHierarchyRepresentationBuilder builder, double mindist, int x, int y, int sizex, int sizey) Update the scratch distance matrix.
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.