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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
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
  • 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
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
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
  • 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 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
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
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 (PCA) is a multivariate exploratory analysis method, useful to separate systematic variation from… Expand
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Highly Cited
1971
Highly Cited
1971
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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