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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| Format: | Thesis |
| Language: | English |
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2016
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| 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 |
| _version_ | 1825833879607443456 |
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| author | Abubaker, Ahmad Asad |
| author_facet | Abubaker, Ahmad Asad |
| author_sort | Abubaker, Ahmad Asad |
| collection | USM |
| 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.
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| first_indexed | 2024-03-06T15:14:24Z |
| format | Thesis |
| id | usm.eprints-38568 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:14:24Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | usm.eprints-385682019-04-12T05:25:08Z http://eprints.usm.my/38568/ Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing. 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 NonPeerReviewed application/pdf en http://eprints.usm.my/38568/1/Automatic_multi-objective_clustering_algorithm_using_hybrid_particle_swarm_optimization_with_simulated_annealing_by_Ahmad_Asad_Abubaker..pdf Abubaker, Ahmad Asad (2016) Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA1 Mathematics (General) Abubaker, Ahmad Asad Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing. |
| title | 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_short | 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 |
| topic | QA1 Mathematics (General) |
| 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 |
| work_keys_str_mv | AT abubakerahmadasad automaticmultiobjectiveclusteringalgorithmusinghybridparticleswarmoptimizationwithsimulatedannealing |