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2002

A Novel Measure for Quantifying the Topology Preservation of Self Organizing Feature Maps

8 years 11 months ago
A Novel Measure for Quantifying the Topology Preservation of Self Organizing Feature Maps
Recently, feature maps have been applied to various problem domains.The success of some of these applications critically depends on whether feature maps are topologically ordered. In this paper, we propose a novel measure for quantifying the neighborhood preserving property of feature maps.Two data sets were tested to illustrate the performance of the proposed method. Key words: neural networks, feature maps, SOM algorithm, topological property
Mu-Chun Su, Hsiao-Te Chang, Chien-Hsing Chou
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where NPL
Authors Mu-Chun Su, Hsiao-Te Chang, Chien-Hsing Chou
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