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Description: 实现sobel,canny,LOG算法的边缘检测 以及EM算法的图象分割-achieve segmentation, canny, LOG edge detection algorithm and the EM algorithm for image segmentation
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Size: 25600 |
Author: 臧明 |
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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: 4096 |
Author: 刘国英 |
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Description: DBSCAN算法的JAVA实现,可以在D:\使用text.txt数据文件来进行DBSCAN聚类-DBSCAN algorithm JAVA, the D : \ text.txt data files used for clustering DBSCAN
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Size: 16384 |
Author: 赵发毅 |
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Description: 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
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Size: 35840 |
Author: fuali |
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Description: 实现了从wave中读取数据，并通过mfcc提取特征系数。再通过分裂法聚类，最后使用EM算法建立GMM。-Realize the data read from the wave, and through MFCC feature extraction coefficient. Clustering through secession law, and finally the use of EM algorithm for the establishment of GMM.
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Size: 5120 |
Author: gujunjun |
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Description: 该算法包包含了hierichal，kmeans，em聚类算法，非常实用。-The algorithm package contains hierichal, kmeans, em clustering algorithm is very practical.
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Size: 24576 |
Author: 项龙江 |
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Description: EM分群,matlab程式碼,用來分群用的-EM clustering, matlab code for the grouping used
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Size: 103424 |
Author: 周珀宣 |
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Description: 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.
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Size: 8192 |
Author: yujin liu |
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Description: GMM-EM聚类程序，输入是一维数据，很有用的程序。-GMM-EM clustering procedure, very useful.
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Size: 1024 |
Author: 汪世刚 |
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Description: EM 算法MATLAB代码，用于数据聚类。-em algorithm which is used in data clustering.
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Size: 6144 |
Author: liuweimin |
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Description: 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
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Size: 514048 |
Author: Erin |
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Description: EM聚类算法的C++实现，高效地进行编码，充分利用系统资源。-EM Clustering Algorithm C++ implementation, efficient encoding, full use of system resources.
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Size: 21504 |
Author: 张勋 |
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Description: 基于EM算法的模型聚类的研究及应用，GMM高斯混合模型-EM-based clustering algorithm and its application model, GMM Gaussian mixture model
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Size: 3404800 |
Author: 思轩 |
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Description: EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大-EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity
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Size: 4096 |
Author: xiajulong |
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Description: 实现EM算法的MATLAB仿真程序，利用高斯混合模型实现EM聚类算法，并比较估计参数。-EM algorithm to achieve the MATLAB simulation program, using Gaussian Mixture Model EM clustering algorithm, and compare the estimated parameters.
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Size: 1024 |
Author: 闻辉 |
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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 statistical calculation, the expectation maximization (EM) algorithm in probability (probabilistic) maximum likelihood estimation and maximum a posteriori estimation algorithm for parameters in the model, the probability model depends on unobservable latent variable (Latent Variable). Maximum expectations are often used in machine learning and computer vision for data clustering (Data, Clustering) fields.)
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Size: 1024 |
Author: 橡树
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Description: 在高斯混合模型上实现聚类问题的算法。将2个高斯混合，然后尝试学习两个高斯混合后的参数。(Algorithm for clustering problem on Gauss mixture model. Mix the 2 Gauss and then try to learn the parameters after the two Gauss mixing.)
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Size: 9216 |
Author: colora
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Description: 聚类和EM算法实例，包括线性分类和非线性分类，线性回归和非线性回归(Examples of clustering and EM algorithm include linear classification and nonlinear classification, linear regression and nonlinear regression)
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Size: 7168 |
Author: fdy219517
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Description: em聚类算法，比较基础的算法，可自行改进(em clustering algorithm, more basic algorithm, self-improvement)
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Size: 1024 |
Author: 尧了个尧 |
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Description: 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 posteriori estimation of parameters in the probability model, in which the probability model depends on the hidden variables that cannot be observed. Maximum expectation algorithm is often used in the field of machine learning and computer vision data clustering.)
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Size: 144384 |
Author: Ohrid |
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