Nice stuff! I'll also point out the Algorithm::Cluster library on CPAN, which not only gives versions of kmeans, but also a number of other clustering/unsupervised pat-recognition algorithms.

One nice thing about that module is that it provides a simple way of iterating the initial randomization and repeating the clustering so you can have a bit more confidence that you're getting closer to a global separation instead of a local one. Nevertheless, really nice stuff!

In reply to Re: k-Means Clustering demo program with Tk by bernanke01
in thread k-Means Clustering demo program with Tk by bart

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