Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q2
An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets
International Journal of Optimization and Control Theories and Applications · Nisan 2021
YÖKSİS Kayıtları
An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets
An International Journal of Optimization and Control: Theories & Applications (IJOCTA) · 2021 scopus
Dr. Öğr. Üyesi ONUR İNAN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets
2021 ISSN: 2146-0957 scopus
Dr. Öğr. Üyesi ONUR İNAN →
The effect of marketing and R&D expenditures on firm profitability and stock return: Evidence from BIST
2023 ISSN: 2146-0957 Scopus
Doç. Dr. GAMZE ŞEKEROĞLU →
Makale Bilgileri
ISSN21460957
Yayın TarihiNisan 2021
Cilt / Sayfa11 · 216-226
Scopus ID2-s2.0-85109643432
Erişim🔓 Açık Erişim
Özet
Clustering, which is handled by many researchers, is separating data into clusters without supervision. In clustering, the data are grouped using similarities or differences between them. Many traditional and heuristic algorithms are used in clustering problems and new techniques continue to be developed today. In this study, a new and effective clustering algorithm was developed by using the Whale Optimization Algorithm (WOA) and Levy flight (LF) strategy that imitates the hunting behavior of whales. With the developed WOA-LF algorithm, clustering was performed using ten medical datasets taken from the UCI Machine Learning Repository database. The clustering performance of the WOA-LF was compared with the performance of k-means, k-medoids, fuzzy c-means and the original WOA clustering algorithms. Application results showed that WOA-LF has more successful clustering performance in general and can be used as an alternative algorithm in clustering problems.
Yazarlar (3)
1
Ayse Nagehan Mat
ORCID: 0000-0003-4975-6418
2
Onur Inan
3
Murat Karakoyun
ORCID: 0000-0002-0677-9313
Anahtar Kelimeler
Clustering
Fuzzy c-means
K-means
K-medoids
Levy flight
Whale optimization algorithm
Kurumlar
Necmettin Erbakan Üniversitesi
Meram Turkey
Scimago Dergi (ISSN Eşleşmesi)
International Journal of Optimization and Control: Theories and Applications
Q2
OA
SJR Skoru0,555
H-Index17
YayıncıAccScience Publishing
ÜlkeTurkey
Applied Mathematics (Q2)
Control and Optimization (Q2)
Metrikler
12
Atıf
3
Yazar
6
Anahtar Kelime