搜索资源列表
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。
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
GMM.zip
- Gaussian Mixture Model Simulation Source,Gaussian Mixture Model Simulation Source
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
- 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
Density_Estimation
- 分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值-GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation
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
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
em
- em算法介绍:EM算法有很多的应用，最广泛的就是GMM混合高斯模型、聚类、HMM等等(This is the EM algorithm using JAVA, easy to understand, easy to use and helpful for understanding the EM algorithm)
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.)
EM 算法
- 用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, v