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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.
2010
2010
This paper presents a simple graphic method for detecting and classifying faults in point mechanisms based on the study of some… 
Highly Cited
2008
Highly Cited
2008
Plant-soil relationship of saline coastal plain of north China was studied. Principle component analysis (PCA) and cluster… 
Highly Cited
2008
Highly Cited
2008
Automatic gender classification aims at analyzing the face image to recognize gender with computer, in which feature extraction… 
Highly Cited
2005
Highly Cited
2005
We present results of the largest experimental investigation of ear biometrics to date. Approaches considered include a PCA… 
Highly Cited
2000
Highly Cited
2000
Abstract Imaging spectrometer data from the ISM instrument on Phobos 2 were used to characterize spatial variations in near… 
Highly Cited
2000
Highly Cited
2000
The mechanism of catalytic oxidation reactions was studied using in situ X-ray absorption spectroscopy (XAFS) over a 17.5 wt… 
Review
1992
Review
1992