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    • Principal Component Analysis: Most Favourite Tool in Chemometrics

      Keshav Kumar

      General Article Volume 22 Issue 8 August 2017 pp 747-759

    • Fulltext

       

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      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

       
      Published
      3 August 2017

  • Resonance – Journal of Science Education | News

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