chameleonsimple

所属分类:人工智能/神经网络/深度学习
开发工具:C/C++
文件大小:45KB
下载次数:155
上传日期:2010-10-30 10:16:36
上 传 者zhengjiaolin
说明:  变色龙一个利用动态模型的层次聚类算法,功能非常强大的一种层次聚类算法
(Chameleon A Hierarchical Clustering algorithm)

文件列表:
chameleon\chameleon.c (38533, 2002-01-14)
chameleon\libhmetis.a (108708, 2002-01-14)
chameleon\makefile (428, 2002-01-14)
chameleon (0, 2005-06-17)

This program is developed according to the CHAMELEON clustering algorithm. In using this program, first there are several constant numbers need to be noticed. In application, user may need to adjust these constants in the program. Of course, these constants can be changed to become input parameters, but in my experiments they are mostly don't need to be changed, so I just made them constants. These constants include: MAXSIZE -- maximum number of data points K_nearest -- k-nearest graph BC -- balance constraints in graph partition MINSIZE -- minimum size in graph partition following three constants relating to the clustering of 2-dimentional spatial data: WIDTH -- width of the 2-dimentional space HEIGHT -- height of the 2-dimentional spac DIAG -- diagonal distance of the 2-dimentional spac ALPHA -- This constant is related to the relative weight of closeness and connections in the clustering goodness function: Once the above constants are set, the usage of the program is like this: "chameleon N fileName stopClusterNO" the meanning of each parameter is: N -- number of data points fileName -- name of the data file stopClusterNO -- cluster number when the cluster process stop

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