Uses of Class
elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Packages that use ClusterMergeHistoryBuilder

Package	Description
elki.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).

Uses of ClusterMergeHistoryBuilder in elki.clustering.hierarchical

Fields in elki.clustering.hierarchical declared as ClusterMergeHistoryBuilder

Modifier and Type	Field	Description
protected ClusterMergeHistoryBuilder	AGNES.Instance.builder	Cluster result builder

Methods in elki.clustering.hierarchical that return ClusterMergeHistoryBuilder

Modifier and Type	Method	Description
protected static ClusterMergeHistoryBuilder	SLINK.convertOutput(ClusterMergeHistoryBuilder builder, ArrayDBIDs oids, DBIDDataStore pi, DoubleDataStore lambda)	Convert a SLINK pointer representation to a cluster merge history.
protected ClusterMergeHistoryBuilder	AbstractHDBSCAN.convertToMergeList(ArrayDBIDs ids, DoubleLongHeap heap, ClusterMergeHistoryBuilder builder)	Convert spanning tree to a pointer representation.

Methods in elki.clustering.hierarchical with parameters of type ClusterMergeHistoryBuilder

Modifier and Type	Method	Description
protected static ClusterMergeHistoryBuilder	SLINK.convertOutput(ClusterMergeHistoryBuilder builder, ArrayDBIDs oids, DBIDDataStore pi, DoubleDataStore lambda)	Convert a SLINK pointer representation to a cluster merge history.
protected ClusterMergeHistoryBuilder	AbstractHDBSCAN.convertToMergeList(ArrayDBIDs ids, DoubleLongHeap heap, ClusterMergeHistoryBuilder builder)	Convert spanning tree to a pointer representation.
protected void	LinearMemoryNNChain.Instance.merge(int end, double[][] clusters, ClusterMergeHistoryBuilder builder, int[] clustermap, double mindist, int x, int y)	Execute the cluster merge.
private void	LinearMemoryNNChain.Instance.nnChainCore(DBIDArrayIter aIt, DBIDArrayIter aIt2, ClusterMergeHistoryBuilder builder, Relation<O> rel)	Core function of NNChain.
ClusterMergeHistory	AGNES.Instance.run(ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder)	Run the main algorithm.
ClusterMergeHistory	Anderberg.Instance.run(ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder)
ClusterMergeHistory	HACAM.Instance.run(ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder)
ClusterPrototypeMergeHistory	HACAM.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)	Run HACAM linkage
ClusterMergeHistory	LinearMemoryNNChain.Instance.run(ArrayDBIDs ids, Relation<O> relation, ClusterMergeHistoryBuilder builder)
ClusterMergeHistory	MedoidLinkage.Instance.run(ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder)
ClusterPrototypeMergeHistory	MedoidLinkage.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq)	Run medoid linkage
ClusterMergeHistory	MiniMax.Instance.run(ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder)
ClusterPrototypeMergeHistory	MiniMax.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)
ClusterPrototypeMergeHistory	MiniMaxAnderberg.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)
ClusterPrototypeMergeHistory	MiniMaxNNChain.Instance.run(ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, DistanceQuery<?> dq, DBIDArrayMIter prots)
ClusterMergeHistory	NNChain.Instance.run(ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder)