A Performance of Modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO)

karta, suprihatin and Tri Riyadi Yanto, Iwan and Irsalinda, Nursyiva and Haviluddin, Haviluddin and Purwaningsih, Tuti and Wibawa, Aji Prasetya A Performance of Modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO). [Artikel Dosen]

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Abstract

Numerous research and related applications of fuzzy clustering are still interesting and important. In this paper, modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO) algorithm in order to improve local optima of Fuzzy Clustering presented by using UCI dataset. In this study, the proposed FCMCSO performance is also compared with three methods i.e. FCM based on Particle Swarm Optimization (FCMPSO), FCM based on Artificial Bee Colony (FCMABC), and also FCM. The simulation results indicated that the FCMCSO method have better performance than three other compared methods.
Keywords—fuzzy clustering; FCM; CSO; FCMPSO; FCMCSO; FCMABC

Item Type:	Artikel Dosen
Subjects:	Q Science > Q Science (General)
Divisi / Prodi:	Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Information System (S1-Sistem Informasi)
Depositing User:	S.Si., M.Kom Suprihatin Karto
Date Deposited:	23 May 2022 03:11
Last Modified:	23 May 2022 03:11
URI:	http://eprints.uad.ac.id/id/eprint/35041

Available Versions of this Item

• A Performance of Modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO). (deposited 23 May 2022 03:11) [Currently Displayed]
  • A Performance of Modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO). (deposited 13 Aug 2022 03:32)
    • A Performance of Modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO). (deposited 15 Aug 2022 04:09)

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