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Nonlinear principal components, II: Characterization of normal distributions
Ernesto Salinelli
Department of Translational Medicine
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Dive into the research topics of 'Nonlinear principal components, II: Characterization of normal distributions'. Together they form a unique fingerprint.
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Mathematics
Gaussian Distribution
100%
Principal Components
100%
Random Vector
50%
Type Inequality
50%
Principal Component Analysis
50%
Keyphrases
Nonlinear Principal Component
100%
Principal Coordinate Analysis (PCoA)
50%
Normal Random Vector
50%
Characterization Theorem
50%
Chernoff
50%