ACM Computing Surveys· 2021Q1· Review
Principal Component Analysis
- 474citations
- Q1SCImago
- 2021year
Short summary
This review provides an accessible and integrated overview of Principal Component Analysis (PCA), covering its theoretical principles, practical applications like data standardization and outlier detection, and its use for dimensionality reduction on real-world datasets.
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Analytical ChemistryChemistry