Further experiments with hierarchic clustering in document retrieval

Abstract

The purpose of this paper is to report the results of experiments in document clustering using three well known test collections. Automatic classification is briefly introduced. The hypothesis underlying the use of clustering is discussed. A framework for the evaluation of cluster-based retrieval strategies is constructed. These strategies are shown to be dependent on the method of cluster representation (cluster profile) adopted. Finally, a particular cluster-based strategy together with a cluster representation method associated with it is examined and evaluated in detail.