Research on Initialization on EM Algorithm Based on Gaussian Mixture Model

来源 :应用数学与应用物理(英文) | 被引量 : 0次 | 上传用户：bmw

【摘要】

：

The EM algorithm is a very popular maximum likelihood estimation method, the iterative algorithm for solving the maximum likelihood estimator when the observati

【作者】

：

Ye Li Yiyan Chen

【机构】

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UKSystemsScienceAssociation

【出处】

：

应用数学与应用物理(英文)

【发表日期】

：

2018年1期

【关键词】

：

EM ALGORITHM GAUSSIAN MIXTURE Model K-Nearest NEIGHBOR K-MEANS ALGORITHM INITIAL

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The EM algorithm is a very popular maximum likelihood estimation method, the iterative algorithm for solving the maximum likelihood estimator when the observation data is the incomplete data, but also is very effective algorithm to estimate the finite mix

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Research on Initialization on EM Algorithm Based on Gaussian Mixture Model

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