Pcdm and pcdm4mp: new pairwise correlation-based data mining tools for parallel processing of large tabular datasets

HIGHLIGHTS

  • who: Daniel Homocianu and Dinu Airinei from the Department of Accounting, Business Information Systems, and Statistics, Faculty of Economics and Business have published the research: PCDM and PCDM4MP: New Pairwise Correlation-Based Data Mining Tools for Parallel Processing of Large Tabular Datasets, in the Journal: Mathematics 2022, 2671 of /2022/
  • what: The paper describes and PCDM4MP as tools and commands capable of exploring large datasets.

SUMMARY

    Of 27 3 of 29 3 of 27 with correlation coefficients (maxAbsVPMCC). The highest ones for the computed Variance Inflation Factor or OLSmaxComputVIF were subject . . .

     

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