Wiley StatsRef: Statistics Reference Online· 2014
Principal Component Analysis
- 1,257citations
- 2014year
Short summary
Principal Component Analysis (PCA) is a technique to reduce the dimensionality of large multivariate datasets by replacing original variables with fewer derived variables (principal components) that capture most of the original variability.
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Analytical ChemistryChemistry