A novel competitive learning algorithm for the parametric classification with Gaussian distributions

Authors
Hwang, WJ Ye, BY Lin, CT
Citation
Wj. Hwang et al., A novel competitive learning algorithm for the parametric classification with Gaussian distributions, PATT REC L, 21(5), 2000, pp. 375-380
Citations number
11
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION LETTERS
ISSN journal
01678655 → ACNP
Volume
21
Issue
5
Year of publication
2000
Pages
375 - 380
Database
ISI
SICI code
0167-8655(200005)21:5<375:ANCLAF>2.0.ZU;2-E
Abstract
A competitive learning algorithm for the parametric classification of Gauss ian sources is presented in this letter. The algorithm iteratively estimate s the mean and prior probability of each class during the training. Bayes r ule is then used for classification based on the estimated information. Sim ulation results show that the proposed algorithm outperforms Ic-means and L VQ algorithms for the parametric classification. (C) 2000 Elsevier Science B.V. All rights reserved.