搜索资源列表
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K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
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K-means K聚类算法的C++语言实现，里面附有使用文档和实例，在VS2005上实现的-K-means K clustering algorithm C++ language, which accompanied with documentation and examples implemented on the VS2005
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K-means聚类算法实现代码，在VC++环境下开发的，令附有实验样本集。-K-means clustering algorithm code, in the VC++ development environment, so that experiments with sample set.
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改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
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基于向量内积的相似性K-means聚类算法-Based on vector similarity of inner product K- means clustering algorithm
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K-Means 聚类算法，C#版，不适合大量数据，适合初学者-K-Means clustering algorithm, C# version, not suitable for large amounts of data, suitable for beginners
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K-means聚类算法，用于文件、数据的聚类分析-K-means clustering algorithm for document clustering analysis of the data
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k均值聚类算法,初始随机给定k个簇中心，根据邻近原则，把待分类的样本点分到各个簇。-k-means clustering algorithm,which is applied in RBF neural network.
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k-均值聚类算法C语言源码,k-均值聚类算法C语言源码-k-means clustering algorithm C language source code
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K-means聚类算法的简单实现，内有点集文件以后缀.dat文件形式保存，我将整个C++工程文件打包上传-Simple implementation of K-means clustering algorithm, the set of point file is saved in the form of .dat, I will upload the entire package C++ project file
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K-Means动态聚类算法源程序，K-means算法进行了重点分析，K-means算法是最为经典的根据聚类中的均值进行聚类划分的聚类算法-Source dynamic clustering algorithm K-Means program, K-means algorithm are analyzed, K-means algorithm is the most classic based on K-means clustering in the clustering algorithm fo
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这是一种我自己比较满意的K-means聚类算法，通过对原始的K-means进行改进而来。-This is a way I quite satisfied with K-means clustering algorithm, through the original K-means to improve from.
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k均值聚类算法，模式识别大作业，适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
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K-means clustering algorithm
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K均值聚类算法，实现将数据分类，分为两类聚类(K means clustering algorithm to achieve data classification, divided into two categories of clusters)
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利用所编的程序，完美的实现经典的K-means聚类算法分析。(Using the program compiled, the classic K-means clustering algorithm is realized perfectly.)
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python实现的k-means聚类算法(k-means clustering algorithm implemented by python)
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随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)
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利用k均值聚类算法对数据进行聚类分析（数据点通过随机生成）(Using k-means clustering algorithm to cluster data (data points are generated randomly))
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改进的人工蜂群算法K均值聚类算法寻找全局最优解(Improved artificial bee colony algorithm K-means clustering algorithm to find the global optimal solution)
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