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Principal component analysis

Known as: Principle components analysis, Principle Component Analysis, Probabilistic principal component analysis 
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2014
Review
2014
A Tutorial on Principal Component Analysis
Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that is widely used but (sometimes) poorly… Expand
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Highly Cited
2009
Highly Cited
2009
Principal Component Analysis
  • Heng Tao Shen
  • Encyclopedia of Database Systems
  • 2009
    • Corpus ID: 2534141
The Karhunen-Lo eve basis functions, more frequently referred to as principal components or empirical orthogonal functions (EOFs… Expand
Highly Cited
2008
Highly Cited
2008
Sparse principal component analysis via regularized low rank matrix approximation
Principal component analysis (PCA) is a widely used tool for data analysis and dimension reduction in applications throughout… Expand
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Highly Cited
2004
Highly Cited
2004
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means… Expand
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Highly Cited
1994
Highly Cited
1994
Independent component analysis, A new concept?
  • P. Comon
  • Signal Process.
  • 1994
    • Corpus ID: 18340548
Abstract The independent component analysis (ICA) of a random vector consists of searching for a linear transformation that… Expand
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Highly Cited
1991
Highly Cited
1991
Nonlinear principal component analysis using autoassociative neural networks
Nonlinear principal component analysis is a novel technique for multivariate data analysis, similar to the well-known method of… Expand
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Highly Cited
1989
Highly Cited
1989
Neural networks and principal component analysis: Learning from examples without local minima
Abstract We consider the problem of learning from examples in layered linear feed-forward neural networks using optimization… Expand
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Review
1988
Review
1988
Principal Component Analysis in Meteorology and Oceanography
List of figures. List of tables. 1. Introduction. An overview of principal component analysis (PCA). Outline of the book. A brief… Expand
Highly Cited
1987
Highly Cited
1987
Principal component analysis
Principal Component Analysis (PCA) is a multivariate exploratory analysis method, useful to separate systematic variation from… Expand
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Highly Cited
1971
Highly Cited
1971
The biplot graphic display of matrices with application to principal component analysis
SUMMARY Any matrix of rank two can be displayed as a biplot which consists of a vector for each row and a vector for each column… Expand
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