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

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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