Clustering algorithm for big datasets with mixed attribute features under spark

HIGHLIGHTS

  • who: Jiankai Wang from the School of Information Engineering, Chengdu College of Arts and Sciences, Chengdu, Sichuan, China have published the paper: Clustering Algorithm for Big Datasets with Mixed Attribute Features under Spark, in the Journal: Mathematical Problems in Engineering of 11/04/2022
  • what: Clustering is a basic method for data_analysis, and the main purpose is to divide a set of objects (usually data points in space) into several classes according to different attribute values and to require that objects within 3.
  • how: This paper presents an in-depth study and analysis . . .

     

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