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K值聚类算法的c语言源程序，很容易理解，有待进一步改进,The K value clustering algorithm c language source code, it is easy to understand, needs to be further improved
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k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i
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基于K-eans聚类算法的图像分割方法，对学习理解K-eans聚类能提供很大的帮助。-Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster.
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一种基于颜色的分割，使用聚类算法中的K均值算法。本例主要用到的函数是色彩空间转换函数makecform和applycform，对于K均值聚类使用kmeans函数。-Based on color segmentation, using clustering algorithm K-means algorithm. In this case the main function used is the color space conversion function makecform and appl
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K均值聚类算法对图像进行分割，实验用程序，亲测可用。-K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.
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数据挖掘k-均值聚类算法
VC6.0测试通过-Data mining k-means clustering algorithm VC6.0 test
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K均值聚类算法，里面的wdbc是数据。用matlab写的-K-means clustering algorithm, which is wdbc data. Written by matlab
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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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用k-means算法进行聚类分析。已运行成功。-By k-means clustering analysis algorithm. Has been running successfully.
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K均值聚类算法，由C语言编写，可以自己调整迭代次数，超级好用-K-means clustering algorithm, the C language, you can adjust their iterations, super easy to use
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已知一组二维模式矢量如下（20个）,利用k均值聚类算法将模式集分类，并计算出聚类中心。利用输入层为2个神经元，输出层结构为7*7方阵的自组织映射（SOFM）对同样模式进行聚类-Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster cent
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基于MATLAB的编写的K均值聚类实验多类算法，caculateCenter1.m是确定类的中心，主函数是main-Experimental multi-class algorithm based on MATLAB prepared by K-means clustering, caculateCenter1.m the center determines the class, the main function is the main
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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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基于matlab的二分k均值聚类算法，经过仿真实验成功。-Bipartite k-means clustering algorithm based on matlab, after successful simulation.
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k-means++ is an improved version of kmeans algorithm that proposed a new initialization technique for the k-means clustering algorithm.
It was proposed in 2007 by David Arthur and Sergei Vassilvitskii, as an approximation algorithm for the NP-hard
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RBF-k均值聚类算法的matlab程序和样本数据，可用于RBF-k均值聚类算法的仿真。-RBF-k-means clustering algorithm matlab program and sample data, can be used to simulate the RBF-k-means clustering algorithm.
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标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
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一种k-means聚类算法的图像分割例程，很好用。里面包括主函数和子函数的m文件以及使用的图片。-One kind of k-means clustering image segmentation algorithm routines, very good use. Which includes the main functions and subroutines m documents and pictures used.
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模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
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基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
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