Conceptual Clustering and Exploratory Data Analysis

This paper discusses a new conceptual clustering algorithm called ITERATE that introduces an iterative redistribution operator along with a hierarchical clustering scheme (modified COBWEB) to produce an effective scheme for exploratory data analysis. Iterative redistribution allows global reassignment of objects in a partition, and, therefore, has a better chance to maximize the category utility measure by skipping over local maxima.