A Study on Effective Clustering Methods and Optimization Algorithms for Big Data Analytics

Abstract— High-dimensional information is labeled through
massive dimensions of structures, disseminates advanced
difficulties that to be understood in around all on its part theseperiods. As the dimensions of datasets grow, the model datarepresentations development into sparse and density of rangegrowing into the extra task. It cannot achieve suitable
consequences however, handling higher-dimensional data.
However, falling the dimensional subspace similarly progressesextremely challenging issues. This broadside conveys a limitedabout effective clustering, Swarm ntelligence algorithms, andoptimization approaches. It consistently focuses on acomprehensive summary of clustering performances with theiradvantages and disadvantages specified in recent works.Optimization methods and their comparative studies aredeliberated with their performances. The scope