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KNN nearest neighbor classification algorithm
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Change the code is written in python, realized the most commonly used in machine learning, the easiest nearest algorithm (KNN). Which comes with a validation data set used, you can verify the effect of the algorithm.
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EM algorithm for Gaussian mixture model implementa
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The main purpose of this procedure is written for parameter estimation in Gaussian mixture models, EM algorithm is the algorithm used. For mean, variance and weights are estimated to have been written as an independent function, and save it into. M-files, the runtime and only need to run the main.m file. With sample data stored in a spreadsheet.
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