GREEDY APPROACH FOR DOCUMENT CLUSTERING

Lim Choen Choi; Soon Cheol Park

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Paper

GREEDY APPROACH FOR DOCUMENT CLUSTERING

Topics: Clustering; Information Retrieval; Web Applications

In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 597-600, 2012 , Vilamoura, Algarve, Portugal

Authors: Lim Choen Choi and Soon Cheol Park

Affiliation: Chonbuk National University, Korea, Republic of

Keyword(s): Document clustering, Cluster validity indices, Greedy algorithm, Average similarity.

Related Ontology Subjects/Areas/Topics: Applications ; Clustering ; Data Engineering ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering ; Theory and Methods ; Web Applications

Abstract: A Greedy Algorithm for Document Clustering (Greedy Clustering) is proposed in this paper. Various cluster validity indices (DB, CH, SD, AS) are used to find the most appropriate optimization function for Greedy Clustering. The clustering algorithms are tested and compared on Reuter-21578. The results show that AS Index shows the best performance and the fastest running time among cluster indices in various experiments. Also Greedy Clustering with AS Index has 15~20% better performance than traditional clustering algorithms (K-means, Group Average).

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Paper citation in several formats:

Choi, L. C. and Park, S. C. (2012). GREEDY APPROACH FOR DOCUMENT CLUSTERING. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 597-600. DOI: 10.5220/0003836605970600

@conference{icpram12,
author={Lim Choen Choi and Soon Cheol Park},
title={GREEDY APPROACH FOR DOCUMENT CLUSTERING},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2012},
pages={597-600},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003836605970600},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - GREEDY APPROACH FOR DOCUMENT CLUSTERING
SN - 978-989-8425-99-7
IS - 2184-4313
AU - Choi, L.
AU - Park, S.
PY - 2012
SP - 597
EP - 600
DO - 10.5220/0003836605970600
PB - SciTePress