Least squares regression principal component analysis: A supervised dimensionality reduction method
From MaRDI portal
Publication:5071633
DOI10.1002/NLA.2411OpenAlexW3200678258MaRDI QIDQ5071633
Publication date: 22 April 2022
Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nla.2411
principal component analysissupervised learningmodel reductiondata analysiskernel methodsdimensionality reduction
Related Items (1)
Recommendations
- Title not available (Why is that?) π π
- Title not available (Why is that?) π π
- Regularized principal component analysis π π
- Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds π π
- Principal fitted components for dimension reduction in regression π π
- Dimension reduction via principal variables π π
- Principal component regression revisited π π
- Principal Components Regression by Using Generalized Principal Components Analysis π π
This page was built for publication: Least squares regression principal component analysis: A supervised dimensionality reduction method
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q5071633)