淡江大學機構典藏:Item 987654321/98263
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    题名: A New Measure of Cluster Validity Using Line Symmetry
    作者: Chou, Chien-Hsing;Hsieh, Yi-Zeng;Su, Mu-Chun
    贡献者: 淡江大學電機工程學系
    关键词: cluster validity;clustering algorithm;line symmetry;cluster analysis;similarity measure;unsupervised learning
    日期: 2014-02
    上传时间: 2014-06-27 23:49:50 (UTC+8)
    出版者: Taipei: Institute of Information Science
    摘要: 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.
    關聯: Journal of Information Science and Engineering 30(2), pp.443-461
    显示于类别:[電機工程學系暨研究所] 期刊論文

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