Parallel K-Means Clustering Algorithm on DNA Dataset.

Othman, Fazilah and Abdullah, Rosni and Abdul Rashid, Nur'Aini and Abdul Salam, Rosalina Parallel K-Means Clustering Algorithm on DNA Dataset. Working Paper. Universiti Sains Malaysia.

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    Abstract

    Clustering is a division of data into groups of similar objects. K- means has been used in many clustering work because of the ease of the algorithm. Our main effort is to parallelize the k-means clustering algorithm.

    Item Type: Monograph (Working Paper)
    Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
    Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences)
    Depositing User: Mr Erwan Roslan
    Date Deposited: 05 Aug 2009 09:55
    Last Modified: 13 Jul 2013 12:44
    URI: http://eprints.usm.my/id/eprint/11580

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