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Code Listing by Gabriel Synnaeve

Code 1-2 of 2   






Hard and soft k-means implemented simply in python (with numpy). Quick and dirty, tested and works on large (10k+ observations, 2-10 features) real-world data.



Quick and simple implementation of Gaussian mixture model (with same covariance shapes) based expectation-maximization algorithm.