Abstract

Abstract Clustering is a simple information mining and best tool for analysing big data. There are difficulties in applying grouping procedures to large-scale information, combined with new difficulties that occur with large-scale information. As Big Data refers to TBs and PBs of information and grouping estimates are followed by large computational expenses, the survey is the means by which to adjust to this problem and how to communicate clustering methods to vast information and to achieve results in a reasonable period. In this post, the firefly optimization algorithm was used to find the optimum cluster centres. This algorithm has a global search capability and is commonly used to solve difficult problems.

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