Sparse partial least squares classification for high dimensional data

DOI10.2202/1544-6115.1492zbMath1304.92041OpenAlexW1990378711WikidataQ33548902 ScholiaQ33548902MaRDI QIDQ2254437

Dongjun Chung

Publication date: 5 February 2015

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2861314

zbMATH Keywords

classificationpartial least squaresdimension reductionvariable selectiongene expressioniteratively re-weighted partial least squarestwo-stage PLS

Mathematics Subject Classification ID

General biostatistics (92B15)

Related Items (9)

Partial least squares with a regularized weight ⋮ High-dimensional clustering via random projections ⋮ Generalized orthogonal components regression for high dimensional generalized linear models ⋮ Envelope-based sparse partial least squares ⋮ A Review of Envelope Models ⋮ Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction ⋮ Nonparametric classification of high dimensional observations ⋮ Correlated Component Regression: Re-thinking Regression in the Presence of Near Collinearity ⋮ PLS for Big Data: a unified parallel algorithm for regularised group PLS

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