1
Department of Electrical Engineering, Faculty of Engineering, Birjand University
2
Department of Electrical and Computer Engineering, Faculty of Engineering, University of Birjand, Shoukat-Abad, Birjand, Iran.
Abstract
Gravitational Search Algorithm (GSA) is a novel searching and optimization algorithm which has been reported recently. GSA was inspired by the gravitational forces between the mechanical objects. The movements of the searching objects in this method are based on the estimated accelerations and velocities of them. In this paper utilizing of GSA is investigated for unsupervised image clustering. At first an improvement for the conventional GSA is presented and then an appropriate fitness function is defined for unsupervised image clustering. Extensive experimental results on various data and images demonstrate the high performance of the proposed method in comparison to other algorithms.
Sardar, A. & Zahiri, S. (2012). Unsupervised Image Clustering Using Improved Gravitational Search Algorithm. Journal of Soft Computing and Information Technology, 1(2), 3–18.
MLA
Sardar, A., & Zahiri, S. "Unsupervised Image Clustering Using Improved Gravitational Search Algorithm", Journal of Soft Computing and Information Technology, 1, 2, 2012, 3–18.
HARVARD
Sardar, A., & Zahiri, S. (2012). 'Unsupervised Image Clustering Using Improved Gravitational Search Algorithm', Journal of Soft Computing and Information Technology, 1(2), pp. 3–18.
CHICAGO
Sardar, A. & Zahiri, S., "Unsupervised Image Clustering Using Improved Gravitational Search Algorithm." Journal of Soft Computing and Information Technology, 1 2 (2012): 3–18,
VANCOUVER
Sardar A., Zahiri S. Unsupervised Image Clustering Using Improved Gravitational Search Algorithm. JSCIT. 2012;1(2):3–18 (In Persian).
