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

• Type: Journal
• Year: 2002
• Where: NPL
• Authors: Mu-Chun Su, Hsiao-Te Chang, Chien-Hsing Chou
• Keywords: Feature Maps.Two Data, NPL 2002, Problem Domains.The Success, SOM Algorithm