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Description: 用于聚类的matlab的EM算法程序，速度还可以。共享给大家-for clustering of the EM algorithm Matlab procedures can also speed. For everyone to share
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Size: 4310 |
Author: 刘国英 |
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Description: 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
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Size: 233472 |
Author: realwill |
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Description: This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three variations of the Expectation Maximization algorithm: the basic EM algorithm with covariance fixing, the Figueiredo-Jain clustering algorithm and the greedy EM algorithm.
The basic EM and FJ algorithms can handle complex valued data directly, the greedy EM algorithm cannot.
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Size: 20480 |
Author: 李 |
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Description: EM算法实现,是matlab主站上获得的可靠程序。-EM algorithm，which is from the matlab net about image processing.
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Size: 40960 |
Author: 朱亮亮 |
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Description: EM聚类算法，Knn分类算法简单C++编程-EM clustering algorithm, Knn classification algorithm is simple C++ programming
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Size: 296960 |
Author: 步凡 |
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Description: 一个高斯混合模型，用EM算法进行聚类的例子！-A Gaussian mixture model, EM algorithm for clustering with an example!
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Size: 4588544 |
Author: guyan |
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Description: GMM-EX gmm语音转换模型，以及里面详细的ex聚类程序介绍-GMM-EX GMM voice switching model, and the EX clustering, there are detailed introduced program
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Size: 61440 |
Author: 王宁 |
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Description: RPEM算法在聚类分析中比ＥＭ算法更好效果。-RPEM algorithm in clustering analysis of better results than EM algorithm.
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Size: 4096 |
Author: 寂寞孤鸿 |
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Description: （经典聚类算法）
国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法：C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
不仅仅是选中的十大算法，其实参加评选的18种算法，实际上随便拿出一种来都可以称得上是经典算法，它们在数据挖掘领域都产生了极为深远的影响。-(Classical clustering algorithm)
International authoritative academic organization of the IEEE International Conference on Data Mining (ICDM) in December 2006 selected the top ten of the field of data mining algorithm: the C4.5, k-Means, SVM, of Apriori, the EM, the PageRank, AdaBoost, kNN , the Naive Bayes, and the CART.
Not just the selected 10 algorithms, in fact, participate in the selection of 18 kinds of algorithms, in fact, easily come up with one can be called a classical algorithm in the field of data mining, they have had far-reaching impact.
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Size: 3922944 |
Author: 赵鑫维 |
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Description: 一种基于期望最大化( E M) 算法的局部图像特征的语义提取方法。首先提取图像的局部图像特 征， 统计特征在视觉词汇本中的出现频率， 将图像表示成词袋模型； 引入文本分析中的潜在语义分析技术建立从低层图像
特征到高层图像语义之间的映射模型； 然后利用 E M 算法拟合概率模型， 得到图像局部特征的潜在语义概率分布； 最后利 用该模型提取出的图像在潜在语义上的分布来进行图像分析和理解。-Latent Semantic probability distribution using the EM algorithm to fit a probability model, the image characteristics Finally, the distribution of the model to extract the image on the latent semantic image analysis and understanding.
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Size: 8192 |
Author: liushurong |
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Description: 在统计计算中，最大期望（EM）算法是在概率（probabilistic）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藏变量（Latent Variable）。最大期望经常用在机器学习和计算机视觉的数据聚类（Data Clustering）领域。
-In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimates or maximum a posteriori estimation algorithm to find the probability (probabilistic) model, in which the probability model is dependent on unobservable hidden variables (Latent Variable). Maximum expected areas often used in machine learning and computer vision, data clustering (Data Clustering).
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Size: 3435520 |
Author: 梦含 |
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Description: 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.
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Size: 7168 |
Author: 辛欣 |
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Description: 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
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Size: 734208 |
Author: libaobei |
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Description: 实现利用高斯分布聚类，即完成em算法，直接在matlab上运行，可以作图直观显示（二维数据）-Achieve Gaussian distribution clustering, complete em algorithm, running directly on matlab, you can visualize mapping (two-dimensional data)
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Size: 1024 |
Author: 宁永恒 |
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Description: 自动阈值的检测方法，可以用来进行变化检测，或者聚类-Automatic detection threshold, can be used to detect changes or clustering
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Size: 151552 |
Author: pairuo |
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Description: EM 算法，先K-mean 聚类，然后LGB分裂-EM algorithm, the first K-mean clustering, then LGB split
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Size: 7454720 |
Author: 王磊 |
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Description: 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)
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Size: 261120 |
Author: zhjun1994
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Description: 一个EM算法 这是通过高斯混合模型进行聚类的EM算法的实现，使用图形在线表示。(EM algorithm
This is an implementation of the EM algorithm for Clustering via Gaussian mixture models, using graphical on-line representation.)
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Size: 2048 |
Author: ykkhds
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Description: 高斯混合聚类的python实现代码，里面有data的demo(Python implementation code of Gauss mixed clustering)
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Size: 4096 |
Author: lwlei |
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Description: 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.)
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Size: 4096 |
Author: 鱼干儿 |
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