A Hierarchical Consensus Architecture for Robust Document Clustering

Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique for a given clustering problem. As a step towards building robust document partitioning systems, we present a strategy based on a hierarchical consensus clustering architecture that operates on a wide diversity of document representations and partitions. The conducted experiments show that the proposed method is capable of yielding a consensus clustering that is comparable to the best individual clustering available even in the presence of a large number of poor individual labelings, thus largely avoiding the problems derived from selecting non-optimal clustering configurations.

• Type: Conference
• Year: 2007
• Where: ECIR
• Authors: Xavier Sevillano, Germán Cobo, Francesc Alías, Joan Claudi Socoró
• Keywords: Consensus Clustering, Consensus Clustering Architecture, ECIR 2007, Information Technology, Text Clustering Practitioners