A boosting classification approach based on som

Abstract

Self-organizing map (SOM) is well known for its ability to visualize and reduce the dimension of the data. It has been a usefi.ll unsupervised tool for clustering problems for years. In this paper, a new classification framework based on SOM is introduced. In this approach, SOM is combined with the learning vector quanti/ation (LVQ) to form a modified version of the SOM classifier, SOM-LVQ.