DCLUST2PROTO

Find prototypes from given clustering of dissimilarity data

    LAB_OUT = DCLUST2PROTO(D,LABC)
    LAB_OUT = LABC*DCLUST2PROTO(D)

Input
LABC	Index array, size [M,K], indices of cluster prototypes for M objects in K clusterings.
D	M x M PRTools dissimilarity matrix or double array

Output
LAB_OUT	Vector with set of M indices pointing for every object in A to the centre of its cluster as derived from D.

Description

By this routine cluster labels of a dataset D are replaced by the indices  of the centres of these clusters. A cluster centre is the object for  which the maximum distance to the other objects in the cluster is minimized.

In case the cluster labels LAB_IN are not given D should be a PRTools  dataset and its labels are interpreted as the cluster labels.

See also

mappings, exemplar, dcluste, dclustm, dclusth, dclustk,