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Expectation-Maximization
The EM (Expectation-Maximization) algorithm estimates the parameters of the multivariate probability density function in a form of the Gaussian mixture distribution with a specified number of mixtures.
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This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
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GMM-EM聚类程序，输入是一维数据，很有用的程序。-GMM-EM clustering procedure, very useful.
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EM algorithm for adaptive multivariate Gaussian mixtures
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EM algorithm for adaptive multivariate Gaussian mixtures
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EM algorithm for adaptive multivariate Gaussian mixtures
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EM algorithm for adaptive multivariate Gaussian mixtures
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EM algorithm for adaptive multivariate Gaussian mixtures
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EM algorithm for adaptive multivariate Gaussian mixtures
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EM algorithm for adaptive multivariate Gaussian mixtures
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em - EM algorithm for adaptive multivariate Gaussian mixtures
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