Application of neural networks in cluster analysis
學年 86
學期 1
發表日期 1997-10-12
作品名稱 Application of neural networks in cluster analysis
作品名稱（其他語言） 類神經網路於群聚分析之應用
著者 蘇木春; Su, Mu-chun; DeClaris, Nicholas; Liu, Ta-kang
作品所屬單位 淡江大學電機工程學系
出版者 Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
會議地點 Orlando, FL, USA
摘要 How to efficiently specify the “correct” number of clusters from a given multidimensional data set is one of the most fundamental and unsolved problems in cluster analysis. In this paper, we propose a method for automatically discovering the number of clusters and estimating the locations of the centroids of the resulting clusters. This method is based on the interpretation of a self-organizing feature map (SOFM) formed by the given data set. The other difficult problem in cluster analysis is how to choose an appropriate metric for measuring the similarity between a pattern and a cluster centroid. The performance of clustering algorithms greatly depends on the chosen measure of similarity. Clustering algorithms utilizing the Euclidean metric view patterns as a collection of hyperspherical-shaped swarms. Actually, genetic structures of real data sets often exhibit hyperellipsoidal-shaped clusters. In the second part of this paper we present a method of training a single-layer neural network composed of quadratic neurons to cluster data into hyperellipsoidal and/or hyperspherical-shaped swarms. Two data sets are utilized to illustrate the proposed methods.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19971012~19971015
通訊作者
國別 USA
公開徵稿
出版型式 紙本
出處 Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on (Volume:1 ), pp.1-6
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