The use of CART and multivariate regression trees for supervised and unsupervised feature selection

Chemometrics and Intelligent Laboratory Systems

Volumn 76, Issue 1, 2005, Pages 45-54

  Questier, F ^a   Put, R ^a   Coomans, D ^a,b   Walczak, B ^a,c   Heyden, Y Vander ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b JAMES COOK UNIVERSITY   (Australia)

^c UNIVERSITY OF SILESIA   (Poland)

Author keywords

AAMRT; Auto associative; CART; Clustering; Feature selection; MRT; Multivariate regression trees; Supervised; Unsupervised

Indexed keywords

ARTICLE; CALCULATION; CLASSIFICATION; CLASSIFICATION AND REGRESSION TREE ANALYSIS; COMPUTER PROGRAM; DATA ANALYSIS; MATHEMATICAL ANALYSIS; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 14844295441     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2004.09.003     Document Type: Article

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