• Principal Component Analysis: Most Favourite Tool in Chemometrics

    • Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/reso/022/08/0747-0759

    • Keywords

       

      Chemometrics, principal component analysis, classification, pattern recognition, chromatography.

    • Abstract

       

      Principal component analysis (PCA) is the most commonlyused chemometric technique. It is an unsupervised patternrecognition technique. PCA has found applications in chemistry,biology, medicine and economics. The present work attemptsto understand how PCA work and how can we interpretits results.

    • Author Affiliations

       

      Keshav Kumar1

      1. Institute for Wine Analysis and Beverage Research, Hochschule, Geisenheim University, Gelsenheim 65366, Germany
    • Dates

       
  • Resonance – Journal of Science Education | News

© 2017-2019 Indian Academy of Sciences, Bengaluru.