高斯混合模型em算法的相关内容

文章 2022-05-17 来自：开发者社区

机器学习(十)高斯混合模型与EM算法

EM（Expectation-Maximization)算法-问题引入如何感性地理解EM算法？EM算法实例及python实现高斯混合模型的终极理解

文章 2017-11-22 来自：开发者社区

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。 GMM与kmeans相似，也是属于clustering，不同的是。kmeans是把每一个...

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更新时间 2023-01-16 16:57:17

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机器学习(十)高斯混合模型与EM算法

GMM高斯混合模型学习笔记（EM算法求解）

算法em相关内容

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