搜索资源列表
EM-algorithm
- 这篇文章介绍了EM算法，并且提出了一种加速算法，很不错
em-c++
- 本文介绍了用c++实现em算法，非常有用！
EM
- EM算法详解！！ EM算法详解
Gentle++Tutorial+of+the+EM++Algorithm
- 详细介绍EM算法的好书！！！！PDF格式
EM-kmeans.rar
- 用matlab实验k-means算法，对数据进行分类。,Matlab experiments using k-means algorithm to classify the data.
EM-Algorithm.zip
- 最大期望值算法以及在混合高斯模型的应用的详细介绍,Expectations algorithm and the largest mixed-Gaussian model in the details of the application
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)
EM_GM_fast
- 高斯混合模型中的EM算法（就不完整数据的极大似然估计）应用(EM algorithm in Gauss mixture model)
em
- 机械学习算法，用于求解OFDM系统中基于循环前缀的定时同步的迭代方法(Mechanical learning algorithm for solving the iterative method of timing synchronization based on cyclic prefix in OFDM system)
em(1)
- 机械学习算法，用于求解OFDM系统中基于循环前缀的定时同步的迭代求解方法(Mechanical learning algorithm for solving the iterative method of timing synchronization based on cyclic prefix in OFDM system)
18.1.EM
- EM算法代码实践，使用python实现。(EM algorithm code practice, based on Python implementation)
EM Algorithm
- 通过使用EM算法来实现混合高斯的分类,有比较好的效果，很直观的可以展示，对于初学者很有帮助(Through the use of EM algorithm to achieve the classification of mixed Gaussian, have better results, very intuitive to display, helpful for beginners)
GMM_EM
- GMM模型下的EM算法，一个实用的matlab仿真代码(EM algorithm under GMM model)
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 算法的MATLAB编程，以一个示例说明EM编程过程(MATLAB programming of EM algorithm)
GMM
- 实现了EM算法对高斯混合模型进行聚类，并将聚类结果用图像展示出来，希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)
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
em算法
- em算法，高斯混合，2D高斯模型，多种概率分布