[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/KJAS.2002.15.2.251

Bayesian Learning for Self Organizing Maps

전성해 (서강대학교 컴퓨터학과)
전홍석 (인하대학교 통계학과)
황진수 (인하대학교 통계학과)

Publication Information

The Korean Journal of Applied Statistics / v.15, no.2, 2002 , pp. 251-267 More about this Journal

Abstract

Self Organizing Maps(SOM) by Kohonen is very fast algorithm in neural networks. But it doesn't show sure rules of training results. In this paper, we introduce to Bayesian Learning for Self Organizing Maps(BLSOM) which combines self organizing maps with Bayesian learning. So it supports explanatory power of models and improves prediction. BLSOM has global optima anywhere but SOM has not. This is proved by experiment in this paper.

Keywords

Self Organizing Map; Bayesian Learning; Clustering; Self Learning Network;

Citations & Related Records

Times Cited By KSCI : 2 (Citation Analysis)

Reference
Cited By KSCI

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KSCI

Bayesian Learning for Self Organizing Maps 자기조직화 지도를 위한 베이지안 학습

Bayesian Learning for Self Organizing Maps