A Study on Parallel Implementations and its Performance Evaluations of SOM Learning Algorithm in PC Cluster

Abstract

It can be an effective approach for SOM learning algorithm applied to a large amount of data to adopt a parallel and distributed computing method. There are two approaches to the parallelization of SOM. One is by dividing the learning dataset and another is by dividing a SOM’s competitive layer. In this paper, the way of implementation of each two kinds of parallelized SOM and its performance evaluation are presented.