Comparison of LVQ, Multivariate Discriminant Analysis and SOM for classifications

Abstract

Serum uric acid level is considered to be a useful index related to metabolic syndrome. We examined the classification by using the SOM significance degree method and compared it with the result of multivariate discriminant analysis. In this study Kohonen's LVQ (Learning vector quantization) was applied to the classification. The result was reported and compared with multivariate discriminant analysis.