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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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用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
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K Means Algrithm it is in v c#.
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k means clustering
k-均值聚类算法c语言版-k means clustering c
k-均值聚类算法c语言版
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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-mean clustering Matlab M-file
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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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经典的K均值聚类，源码加利用三维高斯简单数据的实现对三类数据的聚类-Achieve the effect of classical K-means clustering, plus simple data
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谱聚类，基于k均值的聚类方法，能够分割高维空间的数据点，-Spectral clustering based on k-means clustering method, it is possible segmentation data point of the high-dimensional space,
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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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在里面的的是一些关于k-means的东西，用的mnist数据(I try the Mnits data and use K-means to doing the clustering)
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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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介绍了k-means 均值聚类，能很好的将离散的点，聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
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利用增强型K-means聚类算法实现入侵检测系统模型的设计(Design of Intrusion Detection System Model Using Enhanced K-means Clustering Algorithms)
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