Combining Techniques to Find the Number of Bins for Discretization

Abstract

In different problems and for different reasons, it is necessary to work with fully discretized domains. Commonly, continuous attributes are discretized in bins, but determining a suitable number of bins is a difficult task. In this paper, some ways for combining different techniques to estimate the number of bins for discretization are proposed and evaluated for both clustering and supervised classification tasks.