Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.

Pengelompokan adalah suatu teknik pelombongan data. Di dalam bidang set data tanpa selia, tugas mengelompok ialah dengan mengumpul set data kepada kelompok yang bermakna. Pengelompokan digunakan sebagai teknik penyelesaian di dalam pelbagai bidang dengan membahagikan dan mengstruktur semula data yan...

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Main Author:	Abubaker, Ahmad Asad
Format:	Thesis
Language:	English
Published:	2016
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/38568/1/Automatic_multi-objective_clustering_algorithm_using_hybrid_particle_swarm_optimization_with_simulated_annealing_by_Ahmad_Asad_Abubaker..pdf
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id	my-usm-ep.38568
record_format	uketd_dc
spelling	my-usm-ep.385682019-04-12T05:25:08Z Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing. 2016-12 Abubaker, Ahmad Asad QA1 Mathematics (General) Pengelompokan adalah suatu teknik pelombongan data. Di dalam bidang set data tanpa selia, tugas mengelompok ialah dengan mengumpul set data kepada kelompok yang bermakna. Pengelompokan digunakan sebagai teknik penyelesaian di dalam pelbagai bidang dengan membahagikan dan mengstruktur semula data yang besar dan kompleks supaya menjadi lebih bererti justru mengubahnya kepada maklumat yang berguna. Clustering is a data mining technique. In the field of unsupervised datasets, the task of clustering is by grouping the dataset into meaningful clusters. Clustering is used as a data solution technique in various fields to divide and restructure the large and complex data to become more significant thus transform them into useful information. 2016-12 Thesis http://eprints.usm.my/38568/ http://eprints.usm.my/38568/1/Automatic_multi-objective_clustering_algorithm_using_hybrid_particle_swarm_optimization_with_simulated_annealing_by_Ahmad_Asad_Abubaker..pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Abubaker, Ahmad Asad Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.
description	Pengelompokan adalah suatu teknik pelombongan data. Di dalam bidang set data tanpa selia, tugas mengelompok ialah dengan mengumpul set data kepada kelompok yang bermakna. Pengelompokan digunakan sebagai teknik penyelesaian di dalam pelbagai bidang dengan membahagikan dan mengstruktur semula data yang besar dan kompleks supaya menjadi lebih bererti justru mengubahnya kepada maklumat yang berguna. Clustering is a data mining technique. In the field of unsupervised datasets, the task of clustering is by grouping the dataset into meaningful clusters. Clustering is used as a data solution technique in various fields to divide and restructure the large and complex data to become more significant thus transform them into useful information.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abubaker, Ahmad Asad
author_facet	Abubaker, Ahmad Asad
author_sort	Abubaker, Ahmad Asad
title	Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.
title_short	Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.
title_full	Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.
title_fullStr	Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.
title_full_unstemmed	Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.
title_sort	automatic multi-objective clustering algorithm using hybrid particle swarm optimization with simulated annealing.
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2016
url	http://eprints.usm.my/38568/1/Automatic_multi-objective_clustering_algorithm_using_hybrid_particle_swarm_optimization_with_simulated_annealing_by_Ahmad_Asad_Abubaker..pdf
_version_	1747820691264110592

Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing.

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