Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman



Seman, Ali (2013) Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman. PhD thesis, Universiti Teknologi MARA.

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Uncontrolled Keywords: Clustering; Algorith
Subjects: Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms > Malaysia
Divisions: Faculty of Computer and Mathematical Sciences
Depositing User: Staf Pendigitalan 2
Date Deposited: 25 Oct 2016 04:17
Last Modified: 25 Oct 2016 04:17

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Filename: TP_ALI SEMAN CS 13_5.pdf

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