Uses of Class
edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering.ClusterLinkage

Packages that use HierarchicalAgglomerativeClustering.ClusterLinkage

Package	Description
edu.ucla.sspace.clustering

Uses of HierarchicalAgglomerativeClustering.ClusterLinkage in edu.ucla.sspace.clustering

Methods in edu.ucla.sspace.clustering that return HierarchicalAgglomerativeClustering.ClusterLinkage

Modifier and Type	Method and Description
static HierarchicalAgglomerativeClustering.ClusterLinkage	HierarchicalAgglomerativeClustering.ClusterLinkage.valueOf(String name) Returns the enum constant of this type with the specified name.
static HierarchicalAgglomerativeClustering.ClusterLinkage[]	HierarchicalAgglomerativeClustering.ClusterLinkage.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in edu.ucla.sspace.clustering with parameters of type HierarchicalAgglomerativeClustering.ClusterLinkage

Modifier and Type	Method and Description
List<Merge>	HierarchicalAgglomerativeClustering.buildDendogram(Matrix m, HierarchicalAgglomerativeClustering.ClusterLinkage linkage, Similarity.SimType similarityFunction) Builds a dendrogram of the rows of similarity matrix by iteratelyve linking each row according to the linkage policy in a bottom up manner.
List<Merge>	HierarchicalAgglomerativeClustering.buildDendrogram(Matrix similarityMatrix, HierarchicalAgglomerativeClustering.ClusterLinkage linkage) Builds a dendrogram of the rows of similarity matrix by iteratively linking each row according to the linkage policy in a bottom up manner.
static int[]	HierarchicalAgglomerativeClustering.clusterRows(Matrix m, double clusterSimilarityThreshold, HierarchicalAgglomerativeClustering.ClusterLinkage linkage, Similarity.SimType similarityFunction) Clusters all rows in the matrix using the specified cluster similarity measure for comparison and threshold for when to stop clustering.
static int[]	HierarchicalAgglomerativeClustering.partitionRows(Matrix m, int numClusters, HierarchicalAgglomerativeClustering.ClusterLinkage linkage, Similarity.SimType similarityFunction) Clusters all rows in the matrix using the specified cluster similarity measure for comparison and stopping when the number of clusters is equal to the specified number.