Correlation Principal Component Analysis
Correlation Principal Component Analysis is a variant of principal component analysis that applies dimensionality reduction to a dataset by diagonalizing the correlation matrix rather than the covariance matrix, thereby standardizing variables to unit variance prior to transformation.
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1.5K
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86
Authors
47
Institutions
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2017–2026
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Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
21 citations
Universidad Complutense de Madrid
Madrid, Spain
1 h-index
2 publications
140 citations
University of Siena
Siena, Italy
1 h-index
4 publications
144 citations

Zhejiang University
Hangzhou, China
1 h-index
3 publications
36 citations
Institut d'Economie Scientifique Et de Gestion
Puteaux, France
1 h-index
1 publications
21 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
122 citations
University of Washington
Seattle, United States
1 h-index
1 publications
401 citations
Shahid Beheshti University
Tehran, Iran
1 h-index
2 publications
26 citations
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2 publications · 33 citations
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1 publications · 14 citations
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1 publications · 12 citations
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SAGMB · 1 publications · 18 citations
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MBR · 1 publications · 12 citations
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