Combining clustering of variables and feature selection using random forests-Reference-Cited by-同舟云学术

Combining clustering of variables and feature selection using random forests

Published:2019-02-10 Issue:2 Volume:50 Page:426-445
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Chavent Marie¹²,Genuer Robin³⁴,Saracco Jérôme¹²

Affiliation:

1. Institut de Mathématiques de Bordeaux, UMR CNRS 5251, Université de Bordeaux, Talence Cedex, France;

2. CQFD Team, INRIA Bordeaux Sud-Ouest, Talence, France;

3. ISPED, INSERM U-1219, Université de Bordeaux, Bordeaux, France;

4. SISTM Team, INRIA Bordeaux Sud-Ouest, Talence, France

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2018.1563145

Reference27 articles.

1. Selection bias in gene extraction on the basis of microarray gene-expression data

2. Chavent, M., V. Kuentz-Simonet, A. Labenne, and J. Saracco. 2017. Multivariate analysis of mixed data: The R package PCAmixdata. arXiv preprint arXiv:1411.4911.

3. ClustOfVar: AnRPackage for the Clustering of Variables

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