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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Face recognition using Principal Component Analysis
The strategy of face recognition involves the examination of facial features in a picture, recognizing those features and… 
Highly Cited
2012
Highly Cited
2012
A General Framework for Consistency of Principal Component Analysis
A general asymptotic framework is developed for studying consis- tency properties of principal component analysis (PCA). Our… 
2010
2010
A New Method for Maintenance Management Employing Principal Component Analysis
This paper presents a simple graphic method for detecting and classifying faults in point mechanisms based on the study of some… 
Highly Cited
2005
Highly Cited
2005
Gene expression A web-based tool for principal component and significance analysis of microarray data
Summary: We have developed a program for microarray data analysis, which features the false discovery rate for testing… 
Highly Cited
2004
Highly Cited
2004
Distance measures for PCA-based face recognition
Highly Cited
2003
Highly Cited
2003
Properties of Embedding Methods for Similarity Searching in Metric Spaces
Complex data types-such as images, documents, DNA sequences, etc.-are becoming increasingly important in modern database… 
Highly Cited
1998
Highly Cited
1998
Principal components-based regionalization of precipitation regimes across the southwest United States and northern Mexico, with an application to monsoon precipitation variability
We determine precipitation regions for the United States-Mexico border region based on seasonality and variability of monthly… 
Highly Cited
1997
Highly Cited
1997
Discriminant Analysis for Recognition of Human Face Images (Invited Paper)
In this paper the discriminatory power of various human facial features is studied and a new scheme for Automatic Face… 
Highly Cited
1995
Highly Cited
1995
Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS
Highly Cited
1987
Highly Cited
1987
Application of principal components analysis to change detection
: Principal components analysis (PCA) has been applied for land-cover change detection with multitemporal Landsat Multispectral… 
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