DCLUSTH

Dissimilarity based hierarchical clustering

    [LAB,DEN] = DCLUSTH(D,K,TYPE)
    [LAB,DEN] = D*DCLUSTH([],K,TYPE)

Input
D	Square dissimilarity matrix, size M*M
K	Vector of length N with desired numbers of clusters.  Default is a sampling of the [2:M] interval.
TYPE	Character idicating linkage type:  'a' - average linkage  'c' - complete linkage  'r' - central linkage  's' - single linkage (default)

Output
LAB	[M,N] array with the results of the multilevel clusterings of the
M	objects. The columns refer to the N clusterings. They yield for  the objects the prototype indices of the clusters they belong to.
DEN	Dendrogram, see PLOTDG or DENDROGRAM

Description

A hierarchical clustering is performed on the dissimilarity matrix D of M objects. The cluster indices for the N desired cluster levels stored  in K are returned in LAB.

See also

datasets, mappings, clusth, plotdg, dclustm, dclustk, dcluste, clusteval, clustcerr, clustc,