Data/hora: 23/09/2024 00:45:00

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	24/03/1998	
Data da última atualização: 	15/12/2010	
Autoria: 	CIAMPI, A.	
Título: 	Classification and discrimination: the REC-PAM approach.	
Ano de publicação: 	1994	
Fonte/Imprenta: 	In: DUTTER, R.; GROSSMANN, W. (Ed.). Compstat: proceedings in computational statistics. [Hildeberg]: Physica-Verlag, 1994.	
Páginas: 	p. 129-147.	
ISBN: 	3-7908-0793-1	
Idioma: 	Inglês	
Conteúdo: 	RECPAM is a method for constructing regression trees from data which permits explicit treatment of a great variety of response variables. It is shown that it is possible to use the RECPAM methodology to find solutions to two basic problems of data analysis: discovering and identifying classes in data (classification), and finding simple and economical rules to assign individuals to classes (discrimination). The RECPAM based approach to classification finds classes which are economically described in terms of some of the variables and such that the joint distribution of all variables is, at least approximately, homogeneous within classes and distinct across classes. RECPAM based discrimination simultaneously treats categorical and continuous variables, while respecting their distinct nature: it builds discrimination models which can be seen as a generalization of tree-based models and multi-category logistic regression.	
Palavras-Chave: 	Inteligência artificial; Statistical methods.	
Thesagro: 	Estatística.	
Thesaurus Nal: 	Cluster analysis; Statistics.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (6809-1) - ADD - PL - PP - 519.50285 - BIE - 1998.00017 - DIS