文件名称：EM algorithm for Gaussian Mixture Model
文件大小：20KB
文件格式：ZIP
更新时间：2014-06-19 13:41:53
EM GMM
EM算法的高斯混合模型参数估计：Description This is a function performs maximum likelihood estimation of Gaussian mixture model by using expectation maximization algorithm. It can work on data of arbitrary dimensions. Several techniques are applied in order to avoid the float number underflow problems that often occurs on applying probability analysis on high dimensional data. Speed is another major concern which is optimized by vertorization and matrix factorization.
【文件预览】：
EM Algorithm for GMM
----文档.txt(1KB)
----logsumexp.m(481B)
----license.txt(1KB)
----emgm.m(3KB)
----spread.m(915B)
----data.mat(15KB)