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基本粒子群优化算法（PSO）
求解优化问题-Elementary particle swarm optimization (PSO) for solving optimization problems
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编写的粒子群(PSO)算法优化Kmeans聚类的MATLAB代码，MATLAB6.5/7.1测试通过，其它版本没测试。-(PSO)Kmeans MATLAB6.5/7.1
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一个关于FUZZY kmeans算法的matlab源程序 有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
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余弦距离进行聚类分析，余弦距离kmeans进行聚类分析，-Cluster analysis cosine distance, cosine distance from the cluster analysis kmeans,
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clustering ---uses a kmeans method-clustering---uses a kmeans method
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聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。
-Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
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KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms.
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K-means is a clustering algorithm
In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve a
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基于MATLAB的kmeans聚类分析，包含数据和源代码，-MATLAB-based kmeans cluster analysis, including data and source code,
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K均值聚类算法,短小实用。可以试一试哈。-k-means cluster. Matlab Code.
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在matlab软件中，自己编程实现的一个分类算法，算法首先采用kmeans与fcm聚类分析方法进行采样，然后利用svm对选取得样本进行分类-In matlab software, own programming to achieve a classification algorithm, the algorithm first used fcm kmeans cluster analysis methods and sampling, and then use the elections to
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K-means算法是将样本聚类成k个簇（cluster）。(The K-means algorithm is to cluster the samples into k clusters.)
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