Tag: constrained kmeans

The following is just a Python implementation of the algorithm described in the following paper: Bradley PS, Bennett KP, Demiriz A (2000) Constrained K-Means Clustering. Microsoft Research. Available: http://research.microsoft.com/pubs/69796/tr-2000-65.pdf To cut the long story short, this algorithm allows to execute K-Means with a user-defined minimum number of points belonging to […]