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Voting combination algorithm using K-means, agglomerative hierarchical toward enhancing the effectiveness of clustering Arabic documents /

Mahdi, Ghaith Ahmed,

Voting combination algorithm using K-means, agglomerative hierarchical toward enhancing the effectiveness of clustering Arabic documents / Ghaith Ahmed Mahdi. - xvi, 76 pages, illustrations ; 30 cm.

Thesis (Master of Information Technology)- Universiti Kebangsaan Malaysia, 2014.

References : pages 74-75.

Subjects--Corporate Names:
Universiti Kebangsaan Malaysia--Dissertations.

Subjects--Topical Terms:
Cluster analysis--Data processing.
Document clustering.
Computer algorithms.
Dissertations, Academic--Malaysia.

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Voting combination algorithm using K-means, agglomerative hierarchical toward enhancing the effectiveness of clustering Arabic documents /

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