Hierarchical clustering of document archives with the growing hierarchical self-organizing map

Abstract

With the increasing amount of information available in electronic document collections, methods for organizing these collections to allowtopic-orien ted browsing and orientation gain increasing importance. In this paper, we present the Growing Hierarchical Self-Organizing Map, which allows an automatic hierarchical decomposition and organization of documents. We present a case study based on a 3-month article collection from an Austrian daily newspaper.