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Research on Application of PCA and K-Means Clustering in Enterprise Human Resources

  • Hong-hua SunEmail author
  • Qing-yang Li
Conference paper

Abstract

For enterprises, the effective allocation of human resources is of utmost importance. In order to solve the problems existing in the recruitment and assignment of employees, the application of principal component analysis is used to reduce the dimension of evaluation indicators, and K-means clustering analysis of data after dimension reduction. By comparing the size of weighted comprehensive evaluation values of the cluster centers, the four classes are sorted among classes. By comparing the size of principal components scores, achieve within the class sorting, so as to achieve the total ranking results. Case studies show that enterprises can use this method to classify recruiters according to the actual situation, and the evaluation results are conducive to arrange reasonable jobs for new hires.

Keywords

Comprehensive assessment PCA K-means 

Notes

Acknowledgements

This study was supported by the Inner Mongolia Natural Science Found (Grant No. 2014BS0707).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Industrial EngineeringInner Mongolia University of TechnologyHohhotChina

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