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Authors: Jung Song Lee ; Lim Cheon Choi and Soon Cheol Park

Affiliation: Chonbuk National University, Korea, Republic of

Keyword(s): Document Clustering, Multi-Objective Genetic, Feature Selection

Abstract: Multi-objective genetic algorithm for the document clustering is proposed in this paper. The researches of the document clustering using k-means and genetic algorithm are much in progress. k-means is easy to be implemented but its performance much depends on the first stage centroid values. Genetic algorithm may improve the clustering performance but it has the disadvantage to trap in the local minimum value easily. However, Multi-objective genetic algorithm is stable for the performances and avoids the disadvantage of genetic algorithms in our experiments. The several feature selection methods are applied to and compared with those clustering algorithms. Consequently, Multi-objective genetic algorithms showed about 20% higher performance than others.

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Paper citation in several formats:
Lee, J.; Choi, L. and Park, S. (2011). Document Clustering using Multi-objective Genetic Algorithm with Different Feature Selection Methods. In Proceedings of the International Workshop on Semantic Interoperability (ICAART 2011) - IWSI; ISBN 978-989-8425-43-0, SciTePress, pages 101-110. DOI: 10.5220/0003351401010110

@conference{iwsi11,
author={Jung Song Lee. and Lim Cheon Choi. and Soon Cheol Park.},
title={Document Clustering using Multi-objective Genetic Algorithm with Different Feature Selection Methods},
booktitle={Proceedings of the International Workshop on Semantic Interoperability (ICAART 2011) - IWSI},
year={2011},
pages={101-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003351401010110},
isbn={978-989-8425-43-0},
}

TY - CONF

JO - Proceedings of the International Workshop on Semantic Interoperability (ICAART 2011) - IWSI
TI - Document Clustering using Multi-objective Genetic Algorithm with Different Feature Selection Methods
SN - 978-989-8425-43-0
AU - Lee, J.
AU - Choi, L.
AU - Park, S.
PY - 2011
SP - 101
EP - 110
DO - 10.5220/0003351401010110
PB - SciTePress

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