Sparse Principal Component Analysis
Top Cited Papers
- 1 June 2006
- journal article
- research article
- Published by Taylor & Francis in Journal of Computational and Graphical Statistics
- Vol. 15 (2) , 265-286
- https://doi.org/10.1198/106186006x113430
Abstract
Principal component analysis (PCA) is widely used in data processing and dimensionality reduction. However, PCA suffers from the fact that each principal component is a linear combination of all th...Keywords
This publication has 15 references indexed in Scilit:
- Regularization and Variable Selection Via the Elastic NetJournal of the Royal Statistical Society Series B: Statistical Methodology, 2005
- Least angle regressionThe Annals of Statistics, 2004
- Diagnosis of multiple cancer types by shrunken centroids of gene expressionProceedings of the National Academy of Sciences, 2002
- Multiclass cancer diagnosis using tumor gene expression signaturesProceedings of the National Academy of Sciences, 2001
- A new approach to variable selection in least squares problemsIMA Journal of Numerical Analysis, 2000
- Loading and correlations in the interpretation of principle compenentsJournal of Applied Statistics, 1995
- Rotation of principal components: choice of normalization constraintsJournal of Applied Statistics, 1995
- Principal VariablesTechnometrics, 1984
- Two Case Studies in the Application of Principal Component AnalysisJournal of the Royal Statistical Society Series C: Applied Statistics, 1967