SOM Toolbox | Online documentation | http://www.cis.hut.fi/projects/somtoolbox/ |
[centroids,clusters,err] = kmeans(method, D, n, epochs, verbose)
KMEANS The k-means clustering method. [centroids,clusters,err] = kmeans(method, D, n, [epochs], [verbose]) C = kmeans('batch',D,10,20); [C,partition] = kmeans('seq',D,D(1:10,:),20,1); Input and output arguments ([]'s are optional): method (string) 'batch' or 'seq' D (matrix) size dlen x dim, the data (struct) map or data struct n (scalar) number of centroids (matrix) size n x dim, initial values for the centroids [epochs] (scalar) number of training epochs, 100 by default [verbose] (scalar) verbose level, 0 by default centroids (matrix) size n x dim, the k-means centroids clusters (vector) size dlen x 1, cluster number for each sample err (scalar) total quantization error for the data set See also KMEANS_CLUSTERS.