Kernel Aggregation Operator and Its Application for Multidimensional Scaling

Abstract

In this paper, we propose a kernel aggregation operator and present an application of this operator to multidimensional scaling. The purpose is to improve the performance of the multidimensional scaling by using our proposed aggregation operator. The idea is based on a combination of statistical metric space and kernel method.