搜索资源列表
EM_algorithm
- 非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm A short tutorial
FittFunc
- 多种概率分布的拟合函数集合 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！
13898399GaussEm
- matlab 下em算法 ma tlab 下em算法 matlab 下em算法
EM4pr
- 模式分类（duda）中的EM算法，根据课后题目编制（见程序注释），便于一开始学习em算法的详细实现过程
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
111186761EMnormmixtest.rar
- 用matlab实现高斯混合模型Em算法的源程序哪位有呀,帮帮忙啦- 工具箱与,With the realization of Gaussian mixture model matlab algorithm Em Which source are you? Help help you- the toolbox and
GMM.zip
- Gaussian Mixture Model Simulation Source,Gaussian Mixture Model Simulation Source
Untitled
- EM算法用于混合高斯模型的参数估计，并附有一个例子进行说明，程序解释-EM algorithm is used for of the gaussian mixture model parameter estimation, and with an example specification, process explanation
JavaLDA
- Java LDA, 计算Lda参数，用EM算法-Java LDA
GMM
- 混合高斯模型的C++程序，封装成为C++的类，直接调用即可。-gaussian mixture model train code
-MUL_estimators-
- 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！ - A Collection of Fitting Functions A collection of fitting functions for various Distributions. The provided files are an excellent source for EM based Matlab work.
code
- 语音篡改检测的相关源码。通过EM算法进行检测-The relevant source voice tamper detection
EM_Gaussian
- 基于EM算法的高斯混合模型参数估计Matlab算法，-EM algorithm-based parameter estimation of Gaussian mixture model
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
wavelethmtem
- 是利用EM算法进行小波域隐马尔科夫模型的参数训练，这个训练时间上比其它方法有所提高。-EM algorithm is the use of wavelet-domain hidden Markov model parameters for the training, the training time than other methods increased.
stprtool15aug08
- 统计模式识别算法包，包括线性分类算法，SVM，PCA，LDA，EM，k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
MIL-Ensemble
- This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
EM12suanfa
- 两个改进的EM算法，虽然比Matlab自带的运行速度慢，但更易理解算法的原理-Two improved EM algorithm, although more than Matlab s own slow, but easier to understand the principles of algorithm
mitmatlab
- 数据挖掘matlab源码，包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc..