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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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|
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