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E_M_matlab
- 机器学习中的E M算法,本代码是基于高斯混合模型的E M 算法聚类。-machine learning algorithm E M, the code is based on the Gaussian mixture model clustering algorithm E. M.
高斯混合模型的EM算法的源程序代码
- GMM模型的一个小例子,可以做出不学习这个模型用
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
ViBe
- ViBe看过速度最快的运动检测代码。效果不比混合高斯差。这份资料内容包括:ViBe源代码,Demo程序以及相关的论文资料-ViBe,I have seen the fastest movement detection code. Less effect than mixed Gauss. This information includes: ViBe source code, Demo program and the related papers
gsbj
- 这段代码是在vs2010和opencv2.3.1环境中实现的混合高斯建模,下载的他人代码进行了修改与调试,之前代码是vs06的。版本之间不同,代码就会出很多错,很难调试,这个已被调试好,能跑。-This code is in Gaussian mixture modeling to achieve the vs2010 and opencv2.3.1 environment, download the others to modify the code and debug, before the
gmms
- matlab中的高斯混合模型代码,机器学习基础学习-Gaussian mixture model matlab code, machine learning based learning
GMM
- 高斯混合聚类的python实现代码,里面有data的demo(Python implementation code of Gauss mixed clustering)