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A survey of text clustering techniques used for web mining

Authors :
Dan MUNTEANU
Severin BUMBARU
Source :
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică, Vol 2005, Iss 1, Pp 53-58 (2005)
Publication Year :
2005
Publisher :
Universitatea Dunarea de Jos, 2005.

Abstract

This paper contains an overview of basic formulations and approaches to clustering. Then it presents two important clustering paradigms: a bottom-up agglomerative technique, which collects similar documents into larger and larger groups, and a top-down partitioning technique, which divides a corpus into topic-oriented partitions.

Details

Language :
English
ISSN :
1221454X
Volume :
2005
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Publication Type :
Academic Journal
Accession number :
edsdoj.2a252a48385404ca8a73ed1e5ee6790
Document Type :
article