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Approximating the span of principal components via iterative least-squares
Yariv Aizenbud
*
,
Barak Sober
*
Corresponding author for this work
Department of Statistics
Languages Center
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Letter
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peer-review
1
Scopus citations
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Keyphrases
Alternating Least Squares
100%
Covariance Matrix
33%
Kinship
33%
Least Squares Approach
33%
Linear Least Squares Problems
33%
Linear Least Squares Regression
66%
Linear Least-squares
33%
Minimization Problem
33%
Nonlinear Least Squares
33%
Orthogonal Directions
33%
Power Iteration
33%
Principal Coordinate Analysis (PCoA)
100%
Scattered Data Points
66%
Statistical Tools
33%
Subspace Iteration
33%
Mathematics
Covariance Matrix
20%
Data Point
40%
Least Square
100%
Linear Least Squares
100%
Minimization Problem
20%
Nonlinear
20%
Principal Component Analysis
60%
Principal Components
100%
Scientific Method
20%
Square Regression
40%
Variance
20%
Medicine and Dentistry
Least Square Analysis
100%
Principal Component Analysis
50%