| SOM Toolbox | Online documentation | http://www.cis.hut.fi/projects/somtoolbox/ |
[codes,clusters,err] = kmeans(method, D, k, epochs, verbose)
KMEANS K-means algorithm.
[codes,clusters,err] = kmeans(method, D, k, [epochs], [verbose])
Input and output arguments ([]'s are optional):
method (string) k-means algorithm type: 'batch' or 'seq'
D (matrix) data matrix
(struct) data or map struct
k (scalar) number of centroids
[epochs] (scalar) number of training epochs
[verbose] (scalar) if <> 0 display additonal information
codes (matrix) codebook vectors
clusters (vector) cluster number for each sample
err (scalar) total quantization error for the data set
See also KMEANS_CLUSTERS, SOM_MAKE, SOM_BATCHTRAIN, SOM_SEQTRAIN.