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GMM EM Based image segmentation
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Gaussian Mixture model and EM based image segmentation This is a function tries to obtain the maximum likelihood estimation of Gaussian mixture model by expectation maximization (EM) algorithm. It works on data set of arbitrary dimensions. Several techniques are applied to avoid the float number underflow problems that often occurs on computing probability of high dimensional data. Also the code is carefully tuned to be efficient by utilizing vertorization and matrix factorization.
ashaheer 3 0
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MATLAB Source code for GMM
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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.
ashaheer 2 0
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