A critical assessment of sparse PCA (research): why (one should acknowledge that) weights are not loadings
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
A critical assessment of sparse PCA (research): why (one should acknowledge that) weights are not loadings ; day:1 ; month:8 ; year:2023 ; pages:1-20
Behavior research methods ; (1.8.2023), 1-20
- Creator
-
Park, S.
Ceulemans, E.
Van Deun, K.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.3758/s13428-023-02099-0
- URN
-
urn:nbn:de:101:1-2023110110510645887791
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Park, S.
- Ceulemans, E.
- Van Deun, K.
- SpringerLink (Online service)
Other Objects (12)
A Literature Review of (Sparse) Exponential Family PCA
A Guide for Sparse PCA: Model Comparison and Applications
Why We Should Put Some Weight on Weights
Why We Should Put Some Weight on Weights
Rotation to Sparse Loadings Using $$L^p$$ L p Losses and Related Inference Problems
Tutorial on PCA and approximate PCA and approximate kernel PCA
Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination
Accessibility to nanocapsule loadings
Oil tanker under ice loadings
Concrete creep under variable loadings
Weights
PointPCA: point cloud objective quality assessment using PCA-based descriptors
A Literature Review of (Sparse) Exponential Family PCA
A Guide for Sparse PCA: Model Comparison and Applications
Why We Should Put Some Weight on Weights
Why We Should Put Some Weight on Weights
Rotation to Sparse Loadings Using $$L^p$$ L p Losses and Related Inference Problems
Tutorial on PCA and approximate PCA and approximate kernel PCA
Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination
Accessibility to nanocapsule loadings
Oil tanker under ice loadings
Concrete creep under variable loadings
Weights
PointPCA: point cloud objective quality assessment using PCA-based descriptors
A Literature Review of (Sparse) Exponential Family PCA
A Guide for Sparse PCA: Model Comparison and Applications
Why We Should Put Some Weight on Weights
Why We Should Put Some Weight on Weights
Rotation to Sparse Loadings Using $$L^p$$ L p Losses and Related Inference Problems
Tutorial on PCA and approximate PCA and approximate kernel PCA
Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination
Accessibility to nanocapsule loadings
Oil tanker under ice loadings
Concrete creep under variable loadings
Weights