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Stability approach to selecting the number of principal components
Jiyeon Song,
Seung Jun Shin
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Article
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peer-review
5
Citations (Scopus)
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Keyphrases
Principal Coordinate Analysis (PCoA)
100%
Stability Approach
100%
Number of Principal Components
100%
Superior Performance
50%
Optimal number
50%
Linear Transformation
50%
Unsupervised Learning
50%
Learning Problems
50%
Synthetic Data
50%
PC-based
50%
Target Labels
50%
Low-dimensional Subspace
50%
Data Dimensionality
50%
Sample-level
50%
Mathematics
Principal Components
100%
Principal Component Analysis
100%
Real Data
50%
Optimal Number
50%
Synthetic Data
50%
Linear Transformation
50%
Dimensional Subspace
50%
Computer Science
Principal Components
100%
Component Analysis
50%
Linear Transformation
25%
Superior Performance
25%
Learning Problem
25%
Synthetic Data
25%
Unsupervised Learning
25%
Dimensional Subspace
25%
Engineering
Principal Components
100%
Component Analysis
50%
Dimensionality
25%
Real Data
25%
Linear Transformation
25%
Dimensional Subspace
25%
Chemical Engineering
Unsupervised Learning
100%