搜索资源列表
infomaxica
- 信息极大化算法，用在模式识别中可以提高识别率。-information maximization algorithm, used in pattern recognition can improve recognition rates.
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
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
k_means
- In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is similar to the expectation-max
ga
- 遗传算法解决函数最大值问题，很实用，没事可以研习一下-Maximization of genetic algorithm to solve the function is very useful, nothing can be studies about
Genetic-Algorithm
- 一个简单的遗传算法，求解各类函数的最大值-a simple GA with real coding of variables that can be used for maximization of any function
1
- 遗传算法计算函数最大值，算法在VB中进行调试，感觉不错。-Maximization of genetic algorithm, the algorithm for debugging in VB, I feel good.
Maximization-with-Genetic-Algorithm
- 基于matlab用自行编程的遗传算法，求解一个函数的最大值-Matlab-based program with its own genetic algorithm for solving the maximum of a function
EM-algorithem
- 自己小结的期望最大化算法（EM算法），很详细。-Own summary of the expectation-maximization algorithm (EM algorithm), in great detail.
GA3threshold
- 针对Bmp图片，采用多阈值最大化图像的信息熵为目标，采用多目标遗传算法（源码全）对图像进行多阈值变换，实现对图像的多阈值分割。（VC6.0实现）-Bmp images using multi-threshold image information entropy maximization as the goal, the use of multi-objective genetic algorithm (source full) image multi-threshold transform,
EM_Algorithm
- 介绍期望最大算法基本原理及聚类实现，可以很好的对多个高斯概率密度分布进行分类-Introduces the basic principle and expectation maximization clustering algorithm to achieve, can be good for multiple Gaussian probability density distribution of the classification
EM
- EM算法，统计中被用于寻找，依赖于不可观察的隐性变量的概率模型中，参数的最大似然估计。程序用C++实现，注释写得很清晰-Expectation-maximization algorithm，based on Maximum Likelihood Estimation,C++ program
MUL-GA
- 多变异位自适应遗传算法求一元函数最大值-Ectopic changeable adaptive genetic algorithm for one yuan Maximization
EM
- 模式识别中的Expectation maximization算法的matlab源码-Expectation maximization algorithm
em聚类
- em算法指的是最大期望算法（Expectation Maximization Algorithm，又译期望最大化算法），是一种迭代算法，用于含有隐变量（latent variable）的概率参数模型的最大似然估计或极大后验概率估计。(Expectation Maximization Algorithm use for clustering)
RCY-GMMtest1
- 高斯混合模型（GMM,Gaussian Mixture Model）参数如何确立这个问题，详细讲解期望最大化（EM,Expectation Maximization）算法的实施过程。(How to establish the parameters of Gauss mixture model and explain the implementation process of the expectation maximization algorithm in detail.)