搜索资源列表
em_gm
- EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。
GMM.zip
- Gaussian Mixture Model Simulation Source,Gaussian Mixture Model Simulation Source
EM-Algorithm.zip
- 最大期望值算法以及在混合高斯模型的应用的详细介绍,Expectations algorithm and the largest mixed-Gaussian model in the details of the application
EMCluster
- EM聚类算法，是学习混合高斯模型的好帮手-EM algorithm, Gaussian mixture model to learn a good helper
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
code
- EM algorithm for adaptive multivariate Gaussian mixtures
em
- 基于EM算法的模型聚类的研究及应用，GMM高斯混合模型-EM-based clustering algorithm and its application model, GMM Gaussian mixture model
GMM_EM
- 高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！-EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!
GMM_EM
- 高斯混合模型EM算法,通过EM算法来进行高斯混合模型的参数估计-Gaussian mixture model EM algorithm parameters by EM algorithm to estimate the Gaussian mixture model
EM Algorithm
- 通过使用EM算法来实现混合高斯的分类,有比较好的效果，很直观的可以展示，对于初学者很有帮助(Through the use of EM algorithm to achieve the classification of mixed Gaussian, have better results, very intuitive to display, helpful for beginners)
RCY-GMMtest1
- 高斯混合模型（GMM,Gaussian Mixture Model）参数如何确立这个问题，详细讲解期望最大化（EM,Expectation Maximization）算法的实施过程。(How to establish the parameters of Gauss mixture model and explain the implementation process of the expectation maximization algorithm in detail.)