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A Selective Overview of Sparse Principal Component Analysis
Hui Zou
, Lingzhou Xue
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
142
Scopus citations
Overview
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Keyphrases
High Dimension
100%
Principal Coordinate Analysis (PCoA)
100%
Sparse Principal Component Analysis
100%
Sparse PCA
100%
Feature Extraction
50%
Dimensionality Reduction
50%
Statistical Learning
50%
High-dimensional Data Analysis
50%
Fundamental Challenges
50%
Theoretical Development
50%
Methodological Development
50%
Computer Science
Principal Components
100%
Component Analysis
100%
High Dimensionality
25%
High-Dimensional Data Analysis
25%
Scientific Study
25%
Theoretical Development
25%
Feature Extraction
25%
Data Processing
25%
Material Science
Data Processing
100%
Economics, Econometrics and Finance
Principal Components
100%