搜索资源列表
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
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现，但是不包含em算法在里面，但是有版权，注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
e_m_matlab
- 高斯混合模型的em 内含源代码与例子和实验报告-Gaussian mixture model of the em algorithm
radonLikeFeaturesDemo
- 该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo
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
Archive123
- EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision
EM_GM
- algorithm EM for gaussian mixture
emcenter
- 我写的改进中心点的混合高斯分布的EM算法-I wrote to improve the center of the EM algorithm for Gaussian mixture
SSMS
- 基于高斯混合模型，经由一种高效率的EM-MAP算法，解决图像超分辨率重建问题-A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
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
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.