Description: 这是N-Cut算法的matlab程序，可用于图像分割等-This is the N-Cut algorithm Matlab procedures can be used for image segmentation, etc. Platform: |
Size: 47104 |
Author:maggie |
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Description: 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.-Center drift is a non-supervised clustering algorithm (k-means algorithm with the similar, but more a wider range of applications), can be used for image segmentation, based on the realization of the source Matlab. MedoidShift is a unsupervised clustering algorithm (similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code. Platform: |
Size: 36864 |
Author:陈明 |
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Description: 本源码为matlab下所有用于模式识别的聚类算法的程序-The matlab source code for all of the clustering algorithm for pattern recognition procedures Platform: |
Size: 197632 |
Author:魏奇 |
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Description: 一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo. Platform: |
Size: 12288 |
Author:Xiaojun Tang |
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Description: function [U,V,num_it]=fcm(U0,X)
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping criterion for successive partitions is epsilon =??????.
％*******Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug********
％ Purpose:The function fcm attempts to find a useful clustering of the
％ objects represented by the object data in X using the initial partition in U0. -function [U, V, num_it] = fcm (U0, X) MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. Hathaway on June 21, 1994.) The fuzzification constant m = 2, and the stopping criterion for successive partitions is epsilon =??????.******* Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug******** Purpose: The function fcm attempts to find a useful clustering of the objects represented by the object data in X using the initial partition in U0. Platform: |
Size: 1024 |
Author:download99 |
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Description: 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators. Platform: |
Size: 2136064 |
Author:王梦萍 |
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Description: 一个刚编出来的K—means 聚类算法的matlab源代码 适合多维数据-Just made out of a K-means clustering algorithm matlab source code for multi-dimensional data Platform: |
Size: 1024 |
Author:吴立锋 |
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Description: This Matlab code for clustering using Self Organizing Map-This is Matlab code for clustering using Self Organizing Map Platform: |
Size: 1024 |
Author:to6o_88 |
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Description: 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results) Platform: |
Size: 28672 |
Author:麻衣蚂蚁 |
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