A Discretization Method for Industrial Data Based on Big Data Technology

摘要

A parallel improvement of the traditional K-Means clustering algorithm is achieved based on the Mapreduce architecture, and the new parallelized clustering algorithm is used to realize the discretization of industrial big data in this paper. The new algorithm streamlines the calculation process, meanwhile, saves the computational overhead caused by data analysis and communication consumption caused by information transfer.