som_dmatclusters

[base,seed] = som_dmatclusters(sM,linkage,neigh,ignore)

 SOM_DMATCLUSTERS Cluster map based on neighbor distance matrix.

 base = som_dmatclusters(sM,linkage,neigh,ignore)

 sM        (struct) map or data struct
           (matrix) data matrix, size n x dim
 [linkage] (string) 'closest', 'single', 'average', 'complete', 
                    'centroid', 'ward', and 'neighf' (last for SOM only)
                    default is 'centroid'
 [neigh]   (string) 'kNN' or 'Nk' (which is valid for a SOM only)
                    for example '6NN' or 'N1'
                    default is '10NN' for a data set and 'N1' for SOM
           (matrix) 0/1 matrix of size size n x n, 1=connection exists
 [ignore]  (vector) indeces of vectors to be ignored in the spreading
                    phase, empty vector by default

 base      (vector) size n x 1, cluster indeces (1...c)
 seed      (vector) size c x 1, indeces of seed units for the clusters

 See also  SOM_NEIGHBORS, KMEANS_CLUSTERS, SOM_DMATMINIMA.