| SOM Toolbox | Online documentation | http://www.cis.hut.fi/projects/somtoolbox/ |
[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.