Effectiveness of gpca in reducing data dimensions and its application to human development dimension indicators data

HIGHLIGHTS

• What: The authors propose a Generalized Principal Component Analysis to analyze human development growth by reducing the dimensions of regency/city and indicator. Human development growth at the regency/city level is analyzed using the GPCA results in Biplot to describe each regency/city and its This study aims to evaluate GPCA in reducing the dimensionality of whose observations are correlated and are correlated through simulation and empirical study; to analyze the growth of human development at the regency/city level based on the results of GPCA-Biplot. This research shows that GPCA works well in reducing . . .
  

   

  

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