A semi-supervised regression model for mixed numerical and categorical variables

Pattern Recognition

Volumn 40, Issue 6, 2007, Pages 1745-1752

  Ng, Michael K ^a   Chan, Elaine Y ^b   So, Meko M C ^c   Ching, Wai Ki ^b  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Categorical variables; Clustering; Data mining; Numerical variables; Regression

Indexed keywords

DATA STRUCTURES; ERROR ANALYSIS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

CATEGORICAL VARIABLES; NUMERICAL VARIABLES; REAL DATA SETS;

NUMERICAL METHODS;

EID: 33947104960     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.06.018     Document Type: Article

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