算法高斯混合模型_第2页-阿里云

GMM高斯混合模型学习笔记（EM算法求解）

提出混合模型主要是为了能更好地近似一些较复杂的样本分布，通过不断添加component个数，能够随意地逼近不论什么连续的概率分布。所以我们觉得不论什么样本分布都能够用混合模型来建模。由于高斯函数具有一些非常有用的性质。所以高斯混合模型被广泛地使用。 ...

EM 算法求解高斯混合模型python实现

注：本文是对《统计学习方法》EM算法的一个简单总结。 1. 什么是EM算法？引用书上的话：概率模型有时既含有观测变量，又含有隐变量或者潜在变量。如果概率模型的变量都是观测变量，可以直接使用极大似然估计法或者贝叶斯的方法进行估计模型参数，但是当模型含有隐藏变量时，就不能简单...

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更新时间 2024-04-25 16:40:38

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