Journal of Signal and Information Processing· 2013
An Overview of Principal Component Analysis
- 532citations
- 2013year
Short summary
Principal Component Analysis (PCA) is a statistical technique that uses orthogonal transformation to convert correlated variables into uncorrelated ones, reducing data dimensionality while preserving information.
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Analytical ChemistryChemistry