Symmetry as a new measure for cluster validity

Chien Hsing Chou, Mu Chun Su, Eugene Lai

研究成果: 書貢獻/報告類型篇章同行評審

47 引文 斯高帕斯(Scopus)

摘要

In this paper, a cluster validity measure is presented to infer the appropriateness of data partitions. The proposed validity measure adopts a novel non-metric distance measure based on the idea of "point symmetry". The proposed validity measure can be applied in finding the number of clusters of different geometrical structures. The performance evaluation of the validity measure compares favorably to that of several validity functions and shows the effectiveness.

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主出版物標題Recent Advances in Computers, Computing and Communications
發行者World Scientific and Engineering Academy and Society
頁面209-213
頁數5
ISBN(列印)9608052629
出版狀態已出版 - 2002

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