On selecting interacting features from high-dimensional data

DOI10.1016/j.csda.2012.10.010zbMath1471.62085OpenAlexW2013812371MaRDI QIDQ1621350

Jing-Hao Xue, Hall, Peter

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://discovery.ucl.ac.uk/id/eprint/1373834/

zbMATH Keywords

correlationclassificationfeature rankinggeneralised correlation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

Estimating mutual information for feature selection in the presence of label noise, An analysis of penalized interaction models, Unified model-free interaction screening via CV-entropy filter, The Kendall interaction filter for variable interaction screening in high dimensional classification problems, Coordinate descent based hierarchical interactive Lasso penalized logistic regression and its application to classification problems, Learning distance to subspace for the nearest subspace methods in high-dimensional data classification, Sparse hierarchical regression with polynomials, Interaction screening via canonical correlation

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