K-midranges clustering

Abstract

We present a new clustering procedure called K-midranges clustering. K-midranges is analogous to the traditional K-Means procedure for clustering interval scale data. The K-midranges procedure explicitly optimizes a loss function based on the L.., norm (defined as the limit of an Lp norm as p approaches infinity)