Paper: A Method Of Cluster-Based Indexing Of Textual Data

ACL ID C02-1045
Title A Method Of Cluster-Based Indexing Of Textual Data
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors
  • Akiko Aizawa (National Institute of Informatics (NII), Tokyo Japan)

This paper presents a framework for cluster- ing in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other related el- ements of textual information are clustered si- multaneously into small overlapping clusters. In the paper, the mathematical formulation and implementation of the clustering method are briefly introduced, together with some experi- mental results.