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％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likeli
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EM算法用于混合高斯模型的参数估计，并附有一个例子进行说明，程序解释-EM algorithm is used for of the gaussian mixture model parameter estimation, and with an example specification, process explanation
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我写的改进中心点的混合高斯分布的EM算法-I wrote to improve the center of the EM algorithm for Gaussian mixture
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利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
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EM算法用于高斯混合模型，实现数据的精确分类-The EM algorithm for Gaussian mixture model, the exact classification of the data
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不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elem
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程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。-Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.
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一个EM算法 这是通过高斯混合模型进行聚类的EM算法的实现，使用图形在线表示。(EM algorithm
This is an implementation of the EM algorithm for Clustering via Gaussian mixture models, using graphical on-line representation.)
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