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Titolo:
Application of neural networks using quadratic junctions in cluster analysis
Autore:
Su, MC; Liu, TK;
Indirizzi:
Natl Cent Univ, Dept Comp Sci & Informat Engn, Chungli 320, Taiwan Natl Cent Univ Chungli Taiwan 320 i & Informat Engn, Chungli 320, Taiwan Tamkang Univ, Dept Elect Engn, Tamsui, Taiwan Tamkang Univ Tamsui Taiwan amkang Univ, Dept Elect Engn, Tamsui, Taiwan
Titolo Testata:
NEUROCOMPUTING
, volume: 37, anno: 2001,
pagine: 165 - 175
SICI:
0925-2312(200104)37:<165:AONNUQ>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Keywords:
neural networks; cluster analysis; unsupervised learning; competitive learning;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Su, MC Natl Cent Univ, Dept Comp Sci & Informat Engn, Chungli 320, Taiwan Natl Cent Univ Chungli Taiwan 320 ormat Engn, Chungli 320, Taiwan
Citazione:
M.C. Su e T.K. Liu, "Application of neural networks using quadratic junctions in cluster analysis", NEUROCOMPUT, 37, 2001, pp. 165-175

Abstract

In this paper, we explore an unsupervised learning algorithm for a class of neural. networks with quadratic neural-type junctions. The objective of the networks incorporated with the proposed unsupervised learning algorithm is to cluster data. The detected clusters may be either hyperspherical-shaped or hyperellipsoidal-shaped. Two data sets are tested to illustrate the effectiveness of the proposed method. (C) 2001 Elsevier Science B.V. All rights reserved.

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Documento generato il 25/01/20 alle ore 06:28:20