Selecting the best splits for classification trees with categorical variables

DOI10.1016/S0167-7152(00)00188-7zbMath0999.62049OpenAlexW1988907667WikidataQ126781789 ScholiaQ126781789MaRDI QIDQ5953875

Yu-Shan Shih

Publication date: 29 January 2002

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(00)00188-7

zbMATH Keywords

classification treespower divergencesplitting criteria

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Weighted distance-based trees for ranking data

Uses Software

• C4.5

Cites Work

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• Goodness-of-fit statistics for discrete multivariate data
• A general splitting criterion for classification trees

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