Comparing non-parametric ensemble methods for document clustering

González Pellicer, Edgar; Turmo Borras, Jorge

doi:10.1007/978-3-540-69858-6_25

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González Pellicer, Edgar

Turmo Borras, Jorge

Document typeConference report

Defense date2008

PublisherSpringer Verlag

Rights accessRestricted access - publisher's policy

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

Abstract

The biases of individual algorithms for non-parametric document clustering can lead to non-optimal solutions. Ensemble clustering methods may overcome this limitation, but have not been applied to document collections. This paper presents a comparison of strategies for non-parametric document ensemble clustering.

CitationGonzález, E.; Turmo, J. Comparing non-parametric ensemble methods for document clustering. A: International Conference on Applications of Natural Language to Information Systems. "International Conference on Applications of Natural Language to Information Systems". Londres: Springer Verlag, 2008, p. 245-256.

URIhttp://hdl.handle.net/2117/9239

DOI10.1007/978-3-540-69858-6_25

ISBN978-3-540-69857-9

Publisher versionhttp://www.springerlink.com/content/c8h1973018v1054v/fulltext.pdf

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