Improving fuzzy c-means clustering via quantum-enhanced weighted superposition attraction algorithm

Adil BAYKASOĞLU; İlker GÖLCÜK; Fehmi Burçin ÖZSOYDAN

doi:https://doi.org/10.15672/HJMS.2019.655

Makale detayları

Improving fuzzy c-means clustering via quantum-enhanced weighted superposition attraction algorithm

Yazarlar:

Adil BAYKASOĞLU | İlker GÖLCÜK | Fehmi Burçin ÖZSOYDAN

Yayıncı:

Hacettepe University

Ana Başlıklar:

Analiz

Dergi:

Hacettepe Journal of Mathematics and Statistics 2019 Vol.48 Issue 3, pp.859-882

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000451556

Sıklık:

İki Aylık

eISSN:

2651-477X

pISSN:

2651-477X

DOI:

https://doi.org/10.15672/HJMS.2019.655

Özet:

 

Fuzzy clustering has become an important research field in pattern recognition and data analysis. As supporting unsupervised mode of learning, fuzzy clustering brings about unique opportunities to reveal structural relationships in data. Fuzzy c-means clustering is one of the widely preferred clustering algorithms in the literature. However, fuzzy c-means clustering algorithm has a major drawback that it can get trapped at some local optima. In order to overcome this shortcoming, this study employs a new generation metaheuristic algorithm. Weighted Superposition Attraction Algorithm (WSA) is a novel swarm intelligence-based method that draws inspiration from the superposition principle of physics in combination with the attracted movement of agents. Due to its high converging capability and practicality, WSA algorithm has been employed in order to enhance performance of fuzzy-c means clustering. Comprehensive experimental study has been conducted on publicly available datasets obtained from UCI machine learning repository. The results point out significant improvements over the traditional fuzzy c-means algorithm.

Makale detayları

Improving fuzzy c-means clustering via quantum-enhanced weighted superposition attraction algorithm

Yazarlar: Adil BAYKASOĞLU | İlker GÖLCÜK | Fehmi Burçin ÖZSOYDAN

Yayıncı: Hacettepe University

Ana Başlıklar: Analiz

Dergi: Hacettepe Journal of Mathematics and Statistics 2019 Vol.48 Issue 3, pp.859-882

Belge Tipi: Makale

Yayın Tarihi: 6/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000451556

Sıklık: İki Aylık

eISSN: 2651-477X

pISSN: 2651-477X

DOI: https://doi.org/10.15672/HJMS.2019.655

Sayı

Yazarlar:

Adil BAYKASOĞLU | İlker GÖLCÜK | Fehmi Burçin ÖZSOYDAN

Yayıncı:

Hacettepe University

Ana Başlıklar:

Analiz

Dergi:

Hacettepe Journal of Mathematics and Statistics 2019 Vol.48 Issue 3, pp.859-882

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000451556

Sıklık:

İki Aylık

eISSN:

2651-477X

pISSN:

2651-477X

DOI:

https://doi.org/10.15672/HJMS.2019.655