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EMAlgorithm
- 用em算法对数值进行分类,能到达一定的效果
em-c++
- 本文介绍了用c++实现em算法,非常有用!
EM-algorithm-of-Matlab-source
- EM算法的Matlab源码 EM算法是机器学习中一个很重要的算法,即期望最大化算法,主要包括以下两个步骤: E步骤:estimate the expected values M步骤:re-estimate parameters-EM algorithm of Matlab source EM algorithm is the machine learning a very important algorithm, which maximize algorithm, mainly
EM.zip
- EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计,Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
-MUL_estimators-
- 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! - A Collection of Fitting Functions A collection of fitting functions for various Distributions. The provided files are an excellent source for EM based Matlab work.
Puma-EM-0.4.6.tar
- 这个软件包(C++)是我寻找电磁学代码无意中找到了,功能相当强大(并行计算,快速多极子等)。缺点是安装相当麻烦,需要若干个其他软件包。我在Fedora Core9下编译其中所需blitz++时出错,在 ubuntu下可以所有均编译通过,运行时出现一个错误,我找不到原因(本人水平有限),但从学习电磁学有关算法/程序设计来说,已经是相当了不起的开源软件了。parallel unified multipole algorithm for Electromagnetics (Puma-EM). A
LM
- Levenberg-Marqardt最优迭代算法-Levenberg-Marqardt optimal iterative algorithm
EM
- 这是用matlab实现em算法的程序,简单,易懂,共同学习噢。-EM
EMAlgorithm
- 上数据挖掘课的课件,是EM算法的,其中还包括最大似然值,最大似然估计,以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering
mfa
- 混合因子分析器的EM算法及其VC++实现-EM for Mixtures of Factor Analyzers
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
C_exponential
- 随机偏微分方程的数值模拟,EM算法, 及其收敛阶分析-numerical simulation of stochastic partial differential equations
em
- EM算法,用于实现数据集的聚类,这个是已经改进了的EM算法通过统计找到中心点再进行迭代。-EM algorithm for clustering data sets, this is the EM algorithm has been improved through the statistics to find the center of the re-iteration.
Em
- 使用k均值算法计算聚类的重心,并用EM算法计算各聚类的参数-Using k-means clustering algorithm to calculate the center of gravity, and using EM algorithm to calculate the parameters of each cluster
EM-MCE
- 信号统计建模,MCE算法,EM算法,模式识别-Signal statistical modeling, MCE algorithm, EM algorithm, pattern recognition
em-algorithm
- em算法论文 EM算法为有限混合模型的极大似然估计提供了一个标准框架。本文简单推 导了有限混合高斯分布的EM算法,并针对其收敛速度慢的缺点设计了一种有效 选取参数初始值的方法,数值实验表明,该方法有助于EM算法以较快的速度在 参数真值附近收敛。-em algorithm papers
EM
- EM算法代码,利用类电磁机制求解优化问题的优化算法可以达到全局最优的算法,并且不要求目标函数可微-EM algorithm code, the use of the electromagnetic mechanism to solve the optimization problem of the optimization algorithm can achieve the global optimal algorithm, and does not require differentiable
EMfunction
- 混合高斯分布的em算法,e步和m步,输出各参数值(mixture of gaussian,em)
EM
- EM算法一种有效的优化方法,在机器学习问题中有很重要的影响(EM algorithm is an effective optimization method and has important influence on machine learning problems.)
em
- 在统计计算中,最大期望(EM)算法是在概率模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐性变量。最大期望算法经常用在机器学习和计算机视觉的数据聚类(Data Clustering)领域。(In statistical computation, the maximum expectation (EM) algorithm is an algorithm to find the maximum likelihood estimation or the maximum