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opencv em算法
- 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.
em_in_chinese
- EM算法，好学好用好记，通俗易懂，简单上手-EM algorithm, to learn easy to use easy to remember, easy to understand, easy to use! ! !
empca
- I present an expectation-maximization (EM) algorithm for principal component analysis (PCA).
EM_algorithm
- EM algorithm 讲的非常好和详细 不可多得的好资料-em algorithm which is worth reading
EMfc
- 运用EM算法的几个具体的应用代码，可以进行来进行聚类，包括K-means等-EM algorithm using several specific application code, you can be clustered, including K-means, etc.
The-EM-Algorithm-and-Extensions
- 一本关于EM算法的书籍，对EM算法进行了详尽的介绍。-A book on the EM algorithm, the EM algorithm in detail.
EM-algoritm
- EM algorithm matlab code
EM
- 实验报告，实现：对于混合高斯分布的情况，使用最大期望算法，通过不断计算每个样本的均值与方差，使得似然函数达到最大值。可以很好地处理满足一定概率分布的数据。 代码中通过mvnrnd()函数，设定其中的参数，产生符合混合高斯分布的一组数据集。-Lab reports, to achieve: the case of the mixed Gaussian distribution, using expectation-maximization algorithm, through continuo
EM_fisher
- EM algorithm on fisheriris