BOOK-CHAPTER

Appendix S: Biplots, Correspondence Analysis, and Principal Components Analysis

Abstract

Multivariate graphical displays, also known as biplots, describe relationships among “Just About Right” attributes across samples. Biplots are a visual means to show multidimensional data relationships. There are many techniques that can be used to generate the necessary data for biplots, such as principal components analysis, multidimensional scaling, correspondence analysis, and discriminant analysis. Two of these methods, correspondence analysis (CA) and principal components analysis (PCA), were considered in this case study

Keywords:
Biplot Principal component analysis Correspondence analysis Multidimensional scaling Linear discriminant analysis Multiple correspondence analysis Multivariate statistics Procrustes analysis Multivariate analysis Mathematics Computer science Pattern recognition (psychology) Statistics Artificial intelligence Biology

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Citation History

Topics

Sensory Analysis and Statistical Methods
Life Sciences →  Agricultural and Biological Sciences →  Food Science
Statistical Methods and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Spectroscopy and Chemometric Analyses
Physical Sciences →  Chemistry →  Analytical Chemistry

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