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- 一， 一般步骤 （1），消除或减小恒定系差 （2），求测量数据的数学期望 ，即算术平均值 ： ， 其中n为测量数据次数， 为第 次测量的数据。 （3），求剩余误差 ： （4），根据贝塞尔公式求标准偏差 ： （5），检查是否有粗大误差。检查时用了肖维纳准则。如果某次测量的结果 所对应的 ，则认为是坏值，予以剔除。 （6），如有坏值，剔除后重新进行步骤（2）～（5）的计算，直至无坏值为止。 （7），判断有无变值系差。判断是可用马利科夫准则或阿卑—赫梅
gaussianSrc
- The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussi
gmm
- 一个在matlab环境下编写的采用expectation maximization方法计算高斯混合模型的程序。
EM
- 用matlab语言写的EM(Expectation maximization)算法,用于模式分类
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
Expectation-Maximization.zip
- 混合高斯分布中基于最大期望算法的参数估计模型，适应于通信与信号处理以及统计学领域,Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the field of statistics
EM
- 用于估计未知数据的EM算法，即最大期望算法，用到的地方很多，可用来做同步。-The data used to estimate the unknown EM algorithm, that is the maximum expectation algorithm, used in many places, can be used for synchronization.
Blobworld
- Blobworld:基于期望最大算法的图像分割 及其在图像查询中的应用 -Blobworld: Image segmentation using Expectation-Maximization and its application to image querying
Clustering
- duke的tutorial on EM的matlab经典源码，值得一看。-Matlab code for the tutorial on Expectation Maximization，worth a visit.
mlem
- 关于最大似然重建方法的实现，可用于tomography reconstruction-This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET
fsmem_mvgm
- Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
ExpMaxSeg
- This program is for image segmentation using Expectation maximum
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
ExpectationMaximization
- Expectation Maximization
bpm
- Thomas Minka 编写的适用于Bayesian Point Machine，Expectation Propagation计算的matlab工具箱。对科研人员很有价值。 -This toolbox implements the EP algorithms described in Thomas Minka s thesis and UAI paper.
EMdemo
- This is Expectation Maximization algorithm code.
empca
- Expectation maximisation with principal component analysis
EMALGORITHM
- In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterati
em
- Expectation-Maximization algorithm
EM-for-HMM-Multivariate-Gaussian-processes
- Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])