搜索资源列表
EM
- 用C++实现了期望最大化算法，为了简化，矩阵使用对角矩阵-C achieve expectations maximize algorithm, in order to simplify the use of matrix diagonal matrix
EM算法for cluster
- 一个大家都在寻找的em算法，matlab实现-one we are looking for the em algorithm, achieving Matlab
EMalgorithm
- EM算法处理高斯混和模型，是用MATLAB实现的
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-gmr
- 这是一款用C++编写的实现gmm算法的程序，有样例程序，实现了EM算法来寻找GMM参数。
EM
- EM算法Matlab实现。最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
20107210374284118
- EM聚类算法的C++实现，高效地进行编码，充分利用系统资源。-EM Clustering Algorithm C++ implementation, efficient encoding, full use of system resources.
nbem.tar
- Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
EM
- EM算法，统计中被用于寻找，依赖于不可观察的隐性变量的概率模型中，参数的最大似然估计。程序用C++实现，注释写得很清晰-Expectation-maximization algorithm，based on Maximum Likelihood Estimation,C++ program
EM
- 自己用VC6.0实现的机器学习十大算法中的最大期望算法，经过测试，算法运行很好-VC6.0 with their own machine learning algorithm to achieve the 10 largest expectations algorithm, after testing, the algorithm runs very well
em
- EM算法实现贝叶斯网络缺失样本下的估计的算法-Bayesian estimation algorithm EM algorithm network missing samples under
EM_code
- 机器学习中EM算法的R语言实现，实测可用-EM Algorithm R language, found Available
18.1.EM
- EM算法代码实践，使用python实现。(EM algorithm code practice, based on Python implementation)
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)
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)