搜索资源列表
mixturecode2
- 自适应的选择高斯混合模型个数，并用EM算法估计参数-Adaptive selection of the number of Gaussian mixture model and estimated parameters using EM algorithm
FitFunc
- Matlab关于高斯分布的拟合求解 E-M,献给论坛的朋友们-Matlab on Gaussian fitting solution EM, dedicated forum friends
gmmem
- gaussian mixture model with EM algorithm Matlab code
em_1dim
- EM algorithm for 1D Gaussian mixture model in matlab
emgm
- EM算法用于高斯混合模型，实现数据的精确分类-The EM algorithm for Gaussian mixture model, the exact classification of the data
MatFunC
- 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！-The algorithm including maximum likelihood estimation, least squares estimation, based on the the many EM algorithm mixed Gaussian distribution is estimated, the EM algorithm test c
EM_GM
- EM algorithm for Gaussian Mixture Model
Gupta-and-Chen---2010---Theory
- This introduction to the expectation–maximization (EM) algorithm provides an intuitive and mathematically rigorous understanding of EM. Two of the most popular applications of EM are described in detail: estimating Gaussian mixture models (GMMs),
GM_EM
- 不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elem
emmatlab
- 一种EM算法实例，用于混合高斯分布聚类处理数据-One kind of example of the EM algorithm for clustering mixed Gaussian process data
GMM_EM
- 2类分类高斯混合模型 使用k-means的方法来初始化GMM， 基于EM算法计算出GMM模型参量。 测试GMM模型分别有2个，4个，8个混合成分-2-class classifier with Gaussian Mixture Models. Use the k-means method to initialize the GMM’s Then improve the GMM models iteratively based on the EM algo-rithm.
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.
EM_Algorithm
- 混合高斯背景建模的EM估计算法，是一篇英文资料，希望对大家有帮助。-EM estimation algorithm for Gaussian mixture background modeling, is an English data, we want to help.
12
- EM 混合高斯分布的相关程序，主要以三个为例-EM mixed Gaussian distribution
EM_GM
- EM algorithm for k multidimensional Gaussian mixture estimation
EM11
- EM算法用于混合高斯模型的估计。算法结构清晰，有详细的中文说明。条理清晰。保证能够运行出来。-EM algorithm is used to estimate the Gaussian mixture model. Clear algorithm structure, a detailed descr iption of the Chinese. Guaranteed to run out.
Clustering_Toolbox
- Robert Gordon University的一个研究人员写的k-means聚类算法工具箱，内容完整可运行。-Includes k-means, hierarchical (single-, complete- and mean-linkage), EM for Gaussian Mixture Models, fuzzy c-means, and a demo.
GMM_EM
- 高斯混合模型EM算法,通过EM算法来进行高斯混合模型的参数估计-Gaussian mixture model EM algorithm parameters by EM algorithm to estimate the Gaussian mixture model
EM_GM
- EM algorithm for k multidimensional Gaussian mixture estimation
EM_GM
- EM algorithm for Gaussian mixture (EM_GM) learning is well known