Optimization study on K value of spatial clustering

Yong Sen Li; Shan Lin Yang; Xi Jun Ma; Xiao Xuan Hu; Zeng Ming Chen

Optimization study on K value of spatial clustering

Yong Sen Li
, Shan Lin Yang
, Xi Jun Ma
, Xiao Xuan Hu
, Zeng Ming Chen

Hefei University of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

13 引用（Scopus）

摘要

The value of K is always confirmed in advance to exert K-means algorithm of spatial clustering. However, it can not be clearly and easily confirmed in fact for its uncertainty. A distance cost function was recommended. A corresponding math model was set up and a new optimization algorithm of K value was designed. A preliminary study on the optimization of K value for spatial clustering was realized by a simulation design.

源语言	英语
页（从-至）	573-576
页数	4
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	18
期	3
出版状态	已出版 - 3月 2006
已对外发布	是

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title = "Optimization study on K value of spatial clustering",

abstract = "The value of K is always confirmed in advance to exert K-means algorithm of spatial clustering. However, it can not be clearly and easily confirmed in fact for its uncertainty. A distance cost function was recommended. A corresponding math model was set up and a new optimization algorithm of K value was designed. A preliminary study on the optimization of K value for spatial clustering was realized by a simulation design.",

keywords = "Distance cost function, K-means algorithm, Optimization of K, Spatial clustering",

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AU - Li, Yong Sen

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AU - Hu, Xiao Xuan

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KW - Distance cost function

KW - K-means algorithm

KW - Optimization of K

KW - Spatial clustering

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Optimization study on K value of spatial clustering

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