Other pages introducing user commands of ClusterTools: cluster routines, classification, reclustering, evaluation

This page shows a few support routines in the ClusterTools toolbox that might be of interest for the users to include in some experiments.

clust2proto Computation of new cluster prototypes (medoids or centers) for a given clustering and the underlying dataset.
dclust2proto Computation of new cluster prototypes (centers) for a given clustering and the underlying dissimilarity based dataset.
clustnum Finds the numbers of clusters of the clusterings in a multilevel clustering.
clustsizes Finds for every clustering in a multilevel clustering the numbers of objects in all its clusters.
eadist Finds the evidence accumulation dissimilarity matrix from a multilevel clustering.
labsort Rearranges the columns of a multilevel clustering.
dselproto Computation of a dissimilarity matrix of prototypes from a dissimilarity matrix.
selproto (PRTools) Computation of a dataset of prototypes from a given dataset using a clustering procedure.

Other pages introducing user commands of ClusterTools: cluster routines, classification, reclustering, evaluation