Unsupervised Image Clustering Using Inclined Planes Optimization Algorithm

Department of Elec. Eng., Faculty of Eng., University of Birjand, Birjand, Iran Abstract–Inclined Planes Optimization (IPO) algorithm is a novel search and optimization technique. In this paper, an unsupervised image clustering technique (called IPO Clustering) is proposed. In this algorithm each agent is called ball and includes the information of the cluster centers, which are assigned randomly in the first iteration of the proposed algorithm. The values of the balls are updated and optimized to reach the stopping criteria. The fitness value of each ball is defined based on the inter-class and intra-class distances. Extensive experimental results show the effectiveness of the proposed clustering algorithm.