自己花费整整两个星期写出来的关于数据挖掘K-means算法的论文,论文中详细的进行了论述并提出了改进后的算法以及对比欢迎下载
上传时间: 2016-01-24
上传用户:时代电子小智
This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
标签: code implementing directory algorithm
上传时间: 2014-01-15
上传用户:woshini123456
K-means是一种经典的聚类算法,这是用java实现K-means的源码,其中包括了测试数据文件
上传时间: 2014-01-11
上传用户:lizhizheng88
K-means算法程序(MATLAB环境)
上传时间: 2014-07-11
上传用户:JasonC
中心点漂移是一种非监督聚类算法(与K-means算法相似,但应用范围更广些),可用于图像分割,基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to K-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.
上传时间: 2016-03-28
上传用户:wab1981
基本的K-means聚类算法c++实现,对于理解算法的过程非常有帮助。 Basic implementation of K-means algorithm with c++, it is very helpful to understand the procedure of K-means algorithm.
上传时间: 2013-12-01
上传用户:wangchong
高效的K-means算法实现,使用了k-d树与局部搜索等提高K-means算法的执行效率,同时包含示例代码,用c++代码实现。 Effecient implementation of K-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.
上传时间: 2016-03-28
上传用户:yulg
K-meansy算法源代码。This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
标签: code implementing directory algorithm
上传时间: 2016-04-06
上传用户:shawvi
聚类算法包,包括K-means,性能好,有例程
上传时间: 2013-12-10
上传用户:wkchong
kmeans算法实现 a simple K-means clustering routine. returns the cluster labels of the data points in an array.
标签: clustering the K-means cluster
上传时间: 2013-12-28
上传用户:一诺88