Supervised clustering of variables

DOI10.1007/s11634-014-0191-5zbMath1414.62234OpenAlexW2020462920MaRDI QIDQ2418257

Evelyne Vigneau, Mingkun Chen

Publication date: 3 June 2019

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-014-0191-5

zbMATH Keywords

predictionclustering of variables around latent variables (CLV)forward regression modelsparse PLS regression

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05)

Uses Software

• mixOmics

Cites Work

• Unnamed Item
• Clustering and disjoint principal component analysis
• Clustering and classification via cluster-weighted factor analyzers
• A DC programming approach for feature selection in support vector machines learning
• A Sparse PLS for Variable Selection when Integrating Omics Data
• Averaged gene expressions for regression
• Clustering of Variables Around Latent Components
• Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection
• Regularization and Variable Selection Via the Elastic Net

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