An Explicit Mapping for Vector Quantization Clustering Using Kernel Function

Abstract

This paper proposes a method for the Kernel Learning Vector Quantization Clustering using an explicit mapping to the feature space, in contrast to the method of Learning Vector Quantization using kernel function so far does not use an explicit mapping.As a result the proposed method can represent cluster centers on the feature space.