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Principal Component Analysis
Known as:
Analysis, Principal Component
, Principal Component Analyses
, PCA
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A vector space transform used to reduce the dimensionality in a dataset while retaining those characteristics of the dataset that contribute most to…
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National Institutes of Health
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Related topics
Related topics
3 relations
Broader (1)
Analysis, Factor
Narrower (1)
Principal component analysis of arterial velocity waveform
standards characteristics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
Principal component analysis: a review and recent developments
I. Jolliffe
,
J. Cadima
Philosophical Transactions of the Royal Society A…
2016
Corpus ID: 20101754
Large datasets are increasingly common and are often difficult to interpret. Principal component analysis (PCA) is a technique…
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Highly Cited
2010
Highly Cited
2010
Development and Validation of a Scale for Measuring Instructors' Attitudes toward Concept-Based or Reform-Oriented Teaching of Introductory Statistics in the Health and Behavioral Sciences
R. Hassad
2010
Corpus ID: 79235286
Despite more than a decade of reform efforts, students continue to experience difficulty understanding and applying statistical…
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Highly Cited
2009
Highly Cited
2009
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.
D. Witten
,
R. Tibshirani
,
T. Hastie
Biostatistics
2009
Corpus ID: 6441574
We present a penalized matrix decomposition (PMD), a new framework for computing a rank-K approximation for a matrix. We…
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Highly Cited
2008
Highly Cited
2008
What is principal component analysis?
M. Ringnér
Nature Biotechnology
2008
Corpus ID: 8198708
Principal component analysis is often incorporated into genome-wide expression studies, but what is it and how can it be used to…
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Highly Cited
2006
Highly Cited
2006
Principal components analysis corrects for stratification in genome-wide association studies
A. Price
,
N. Patterson
,
R. Plenge
,
M. Weinblatt
,
N. Shadick
,
D. Reich
Nature Genetics
2006
Corpus ID: 8127858
Population stratification—allele frequency differences between cases and controls due to systematic ancestry differences—can…
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Review
2006
Review
2006
Constructing socio-economic status indices: how to use principal components analysis.
S. Vyas
,
L. Kumaranayake
Health Policy and Planning
2006
Corpus ID: 52581
Theoretically, measures of household wealth can be reflected by income, consumption or expenditure information. However, the…
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Highly Cited
1999
Highly Cited
1999
Learning the parts of objects by non-negative matrix factorization
Daniel D. Lee
,
H. S. Seung
Nature
1999
Corpus ID: 4428232
Is perception of the whole based on perception of its parts? There is psychological and physiological evidence for parts-based…
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Review
1997
Review
1997
The international index of erectile function (IIEF): a multidimensional scale for assessment of erectile dysfunction.
R. Rosen
,
A. Riley
,
G. Wagner
,
I. Osterloh
,
J. Kirkpatrick
,
A. Mishra
Urology
1997
Corpus ID: 840052
Highly Cited
1992
Highly Cited
1992
SIGNAL PROCESSING Independent component analysis , A new concept ? *
Pierre Comon
1992
Corpus ID: 267896240
The independent component analysis (ICA) of a random vector consists of searching for a linear transformation that minimizes the…
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Highly Cited
1964
Highly Cited
1964
The use and interpretation of principal component analysis in applied research
Calyampudi R. Rao
1964
Corpus ID: 117320364
The paper provides various interpretations of principal components in the analysis of multiple measurements. A number of…
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