Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on intelligent systems is the subjec t of a new report. According to news originating from Selangor, Malaysia, by New sRx editors, the research stated, "In recent years, the field of data analytics has witnessed a surge in innovative techniques to handle the ever-increasing vol ume and complexity of data. Among these, nature-inspired algorithms have gained significant attention due to their ability to efficiently mimic natural processe s and solve intricate problems." Our news reporters obtained a quote from the research from Universiti Kebangsaan Malaysia: "One such algorithm, the symbiotic organisms search (SOS) Algorithm, has emerged as a promising approach for clustering and predictive analytics task s, drawing inspiration from the symbiotic relationships observed in biological e cosystems. Metaheuristics such as the SOS have been frequently employed in clust ering to discover suitable solutions for complicated issues. Despite the numerou s research works on clustering and SOS-based predictive techniques, there have b een minimal secondary investigations in the field. The aim of this study is to f ill this gap by performing a systematic literature review (SLR) on SOS-based clu stering models focusing on various aspects, including the adopted clustering app roach, feature selection approach, and hybridized algorithms combining K-means a lgorithm with different SOS algorithms. This review aims to guide researchers to better understand the issues and challenges in this area. The study assesses th e unique articles published in journals and conferences over the last ten years (2014-2023). After the abstract and full-text eligibility analysis, a limited nu mber of articles were considered for this SLR."
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