Enhancing the performance of social spider optimization with neighbourhood attraction algorithm
K. Tamilarasi, M. Gogulkumar, Karuppanna Velusamy · Journal of Physics Conference Series · 2021
Abstract Data clustering is a well-known problem in order to identify the inherent structures and extracting the useful information. Recently, social spider optimization (SSO) algorithm is applied to solve a clustering problem. But, it may fall into premature convergence due to find improper nearest spiders in order to achieve the global solution. In this research paper, the neighbourhood attraction (NA) method is used to enhance the performance of the SSO clustering algorithm. In the experimental results, the proposed NA+SSO clustering method is producing better performance when compared with other conventional clustering algorithm.