Automatic multi-objective clustering algorithm using hybrid particle swarm optimization with simulated annealing.

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dc.contributor.authorAbubaker, Ahmad Asad
dc.date.accessioned2018-07-26T04:35:00Z
dc.date.available2018-07-26T04:35:00Z
dc.date.issued2016-12
dc.description.abstractPengelompokan adalah suatu teknik pelombongan data. Di dalam bidang set data tanpa selia, tugas mengelompok ialah dengan mengumpul set data kepada kelompok yang bermakna. Clustering is a data mining technique. In the field of unsupervised datasets, the task of clustering is by grouping the dataset into meaningful clusters.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6042
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectalgorithmen_US
dc.subjecthybriden_US
dc.titleAutomatic multi-objective clustering algorithm using hybrid particle swarm optimization with simulated annealing.en_US
dc.typeThesisen_US
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