EM算法及其推广-expectation maximization algorithm

WIKI

In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables.

EM算法是一种迭代算法
用于含有隐变量的概率模型参数的极大似然估计，或极大后验概率估计

EM算法

EM算法及其推广-expectation maximization algorithm

注意点

EM算法及其推广-expectation maximization algorithm

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