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Enhancements of invasive weed optimization algorithm for solving clustering problems /

Boobord, Fatemeh,

Enhancements of invasive weed optimization algorithm for solving clustering problems / Fatemeh Boobord. - xv, 142 pages : illustrations ; 30 cm.

Thesis (Ph.D) - Universiti Kebangsaan Malaysia, 2016.

References : page [118]-125.

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

Subjects--Topical Terms:
Cluster analysis.
Algorithms.
Data mining.
Artificial intelligence.
Dissertations, Academic--Malaysia.

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Enhancements of invasive weed optimization algorithm for solving clustering problems /

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