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Principal Component Analysis - Engineering Applications

Editor

Listed:
  • Parinya Sanguansat

Abstract

This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as energy, multi-sensor data fusion, materials science, gas chromatographic analysis, ecology, video and image processing, agriculture, color coating, climate and automatic target recognition.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Parinya Sanguansat (ed.), 2012. "Principal Component Analysis - Engineering Applications," Books, IntechOpen, number 1872, January-J.
    • Handle: RePEc:ito:pbooks:1872
    DOI: 10.5772/2693
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    File URL: https://www.intechopen.com/books/1872
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    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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