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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均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
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简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
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用VC写的关于k-mean聚类算法的程序。-Written by VC on the k-mean clustering algorithm procedure.
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k means clustering algorithm used for clustering a spread data
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k-means clustering algorithm, C means Fuzzy clustering algorithm-k-means clustering algorithm, C means Fuzzy clustering algorithm...
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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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k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
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聚类算法有很多种，该程序是基于K-均值聚类算法，主要用于图像的分割-There are many clustering algorithms, the program is based on the K-means clustering algorithm, mainly used for image segmentation
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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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基于vc程序的实现K-Means动态聚类算法源程序-K-Means clustering algorithm based on vc program source code implementation of K-Means clustering algorithm based on vc program source code to achieve
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New revised K-means聚类算法，为matlab函数，需要调用才能使用-New revised K-means clustering algorithm for matlab function, you need to call in order to use
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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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KMEans Clustering Algorithm
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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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