MATLAB: Clustering – different size clusters

clusteringk-meansStatistics and Machine Learning Toolbox

I have a pretty large matrix of data which I want to cluster against the first column which can be separated into six clusters / categories of different sizes. I know the k means clustering algorithm allows input of number of clusters but allows those to be determined iteratively. Is there anything on MATLAB which would be suitable for my task?

Best Answer

Yes, silhouette() lets you graphically judge the quality of the clustering produced by kmeans(). evalclusters() lets to evaluate the quality of the clustering achieved with a range of k values so you can pick the right k if you don't know it for certain.
% Try values of k 2 through 5
clustev = evalclusters(X, 'kmeans', 'silhouette', 'KList', 2:5);
% Get the best one value for k:
kBest = clustev.OptimalK
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