Autor:	Eva K. Lee, David A. Patterson, Richard J. Gallagher
Rok vydání:	1997
Předmět:	Mathematical optimization Nonlinear system Computer science Heuristic Optimal discriminant analysis Theory of computation General Decision Sciences Management Science and Operations Research Linear discriminant analysis Integer programming
Zdroj:	Annals of Operations Research. 74:65-88
ISSN:	0254-5330
DOI:	10.1023/a:1018943025993
Popis:	A nonlinear 0/1 mixed integer programming model is presented for a constrained discriminant analysis problem. The model places restrictions on the numbers of misclassifications allowed among the training entities, and incorporates a "reserved judgment" region to which entities whose classifications are difficult to determine may be allocated. Two linearizations of the model are given one heuristic and one exact. Numerical results from real-world machine-learning datasets are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2aabd16ec7087fcab5d984c09822c48d https://doi.org/10.1023/a:1018943025993 Zobrazit plný text záznamu Full text from SpringerLink