A hierarchical consensus architecture for robust document clustering

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1 Citació (Scopus)


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, outperforming classic non-hierarchical consensus approaches in terms of performance and computational cost.

Idioma originalAnglès
Títol de la publicacióAdvances in Information Retrieval - 29th European Conference on IR Research, ECIR 2007, Proceedings
EditorSpringer Verlag
Nombre de pàgines4
ISBN (imprès)3540714944, 9783540714941
Estat de la publicacióPublicada - 2007
Esdeveniment29th European Conference on IR Research, ECIR 2007 - Rome, Italy
Durada: 2 d’abr. 20075 d’abr. 2007

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum4425 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349


Conferència29th European Conference on IR Research, ECIR 2007


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