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GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现,但是不包含em算法在里面,但是有版权,注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
em(1)
- EM算法实现高斯混合模型参数估计的matlab程序,可以下载学习。-EM algorithm to achieve the matlab program Gaussian mixture model parameter estimation, you can download the study.
EM-suanfa-hunhegaosi
- em算法计算混合高斯模型的参数估计,极大似然,EM算法用于K均值问题的参数估计。MATLAB实现有代码-em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code