搜索资源列表
GMMandEMandBICProgramm
- 模式识别 关于GMM+EM+BIC，请运行附件的程序。主程序：VASceneAnalysisFH7_ICMEFull_2009.m -Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m
GMM-GMR-v1.2
- 这是一款用matlab编写的GMM算法，有样例，实现用EM算法寻找GMM参数-This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
gmm
- 求高斯混合模型的EM算法，matlab程序。-Seeking EM algorithm for Gaussian mixture model, matlab program.
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
GMM-GMR-v2.0
- 基于泛化自回归的源模型，以及在这个模型基础上的EM算法实现-Generalization based on the source from the regression model, as well as in the model based on EM algorithm
EM-GMM
- Em algo for GMM, data mining unsupervised learning-Em algo for GMM, data mining unsupervised learning
EM
- em algorithm used in G-em algorithm used in GMM
em-algorithm-for-gmm
- 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
gmm
- MATLAB编写的用于实现最大期望的算法,-EM algorithm
GMM
- 无监督混合高斯模型（GMM）的EM估计，含两篇IEEE论文的源码-This is a set of MATLAB m-files implementing the mixture fitting algorithm described in the paper M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", IEEE Transaction on Pattern Analys
em
- EM算法的Matlab实现，针对GMM模型-EM algorithm for GMM Model
EM
- GMM的优化，用EM算法实现高斯混合模型-GMM optimization algorithm EM
EM-GMM
- 利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
GMM
- 程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。-Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.
GMM
- 通过应用matlab实现高斯算法，用EM估计GMM的数据参数，并把运算时其遗漏数据补全-Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement
讲课涉及到的一些源代码
- 一些关于混合高斯模型的程序，包括em方法和gibbish采样(some code relate to gmm)
GMM_EM
- GMM模型下的EM算法，一个实用的matlab仿真代码(EM algorithm under GMM model)
EM-GMM.py
- Gaussian mixture 的 EM算法(EM algorithm for Gaussian mixture model)
GMM
- 实现了EM算法对高斯混合模型进行聚类，并将聚类结果用图像展示出来，希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)