Sparse common component analysis for multiple high-dimensional datasets via noncentered principal component analysis
type: Item
instance of: scholarly article
title: Sparse common component analysis for multiple high-dimensional datasets via noncentered principal component analysis
zbMATH Open document ID: 1467.62108
author: Heewon Park
author: Sadanori Konishi
published in: Statistical Papers
publication date: 2021-06-03T00:00:00Z
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62R07
zbMATH DE Number: 7354453
zbMATH Keywords: common component analysis
zbMATH Keywords: common feature selection
zbMATH Keywords: Gram matrix
zbMATH Keywords: \(L_1\)-type regularized regression
zbMATH Keywords: multiple datasets
zbMATH Keywords: sparse principal component analysis
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: s00362-018-1045-6
OpenAlex ID: W2890684196
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DOI: 10.1007/S00362-018-1045-6
description: scientific article; zbMATH DE number 7354453