Unsupervised Image Clustering Using Improved Gravitational Search Algorithm

Document Type : Persian Original Article

Authors

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.

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