A New Measure of Cluster Validity Using Line Symmetry

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/98263

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/98263

Title:	A New Measure of Cluster Validity Using Line Symmetry
Authors:	Chou, Chien-Hsing;Hsieh, Yi-Zeng;Su, Mu-Chun
Contributors:	淡江大學電機工程學系
Keywords:	cluster validity;clustering algorithm;line symmetry;cluster analysis;similarity measure;unsupervised learning
Date:	2014-02
Issue Date:	2014-06-27 23:49:50 (UTC+8)
Publisher:	Taipei: Institute of Information Science
Abstract:	Many real-world and man-made objects are symmetry, therefore, it is reasonable to assume that some kind of symmetry may exist in data clusters. In this paper a new cluster validity measure which adopts a non-metric distance measure based on the idea of "line symmetry" is presented. The proposed validity measure can be applied in finding the number of clusters of different geometrical structures. Several data sets are used to illustrate the performance of the proposed measure.
Relation:	Journal of Information Science and Engineering 30(2), pp.443-461
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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