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K-means一个用C++实现的聚类算法
-K-C means to achieve a clustering algorithm
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该软件是基于C均值算法的聚类软件，能对数值型数据集进行合理的聚类。-The software is based on the C - Means clustering algorithm software, capable of numerical data sets reasonable clustering.
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模糊c聚类代码，聚类方法的一种，可用于镜头检测等方面,Fuzzy c clustering code
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张学工老师模式识别第四次作业，分别用C均值方法，分层聚类方法和非监督参数下正态分布函数估计的贝叶斯决策对身高体重二维数据进行分类。-Zhang engineering teacher fourth pattern recognition operations, respectively C-means, hierarchical clustering methods, and non-normal distribution function under the supervision of th
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模糊C均值聚类算法（FCM）的VC++实现-Fuzzy C means clustering VC++ Implementation
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对数值型数据进行聚类：实现了K-means和FCM算法-K-means,fuzzy c means
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Code Fuzzy C Means Clustering Method in PHP-Code Fuzzy C Means Clustering Method in PHP
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熟悉c均值算法，通过程序语言实现该算法，比较每个聚类的初始均值不同时，算法结果的差别。理解动态聚类算法的算法思想-Familiar with the c means algorithm, the algorithm realized by programming language, compare the initial mean of each cluster is not the same time, the difference between algorithm results. Dyn
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fcm模糊C均值聚类算法的详细程序及其解释，程序可以运行-fcm detailed procedures and their interpretation of fuzzy C-means clustering algorithm, the program can run
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用C语言程序通过先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。-C Programming Language by first randomly selected the K object as initial cluster centers. And then calculate the distan
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Rough Fuzzy c-means clustering
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模糊C均值聚类，实现数据聚类算法！来源于网络，经过修改，可用于数据聚类！-Fuzzy C-Means clustering, data clustering algorithm! From the network, without modification, can be used for data clustering!
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聚类算法中的C均值聚类算法，课自己设定数值和分类数，输出聚类结果-Clustering algorithm C-means clustering algorithm, set their own values and lessons classification number, the output clustering results
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this project describes K means clustering of images in c# for k=2
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基于MFC框架实现了C均值聚类算法，感知器训练。-Based on the MFC framework implements the c-means clustering algorithm, perceptron training.
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This MATLAB Toolbox contains M-files for the following clustering algorithms
1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m
2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m
3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
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This MATLAB Toolbox contains M-files for the following clustering algorithms
1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m
2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m
3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
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This MATLAB Toolbox contains M-files for the following clustering algorithms
1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m
2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m
3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algor
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