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Automatic classification of inspectional categories: multivariate theories of archaeological data. Robert A. Benfer

Por: Colaborador(es): Tipo de material: ArtículoArtículoIdioma: Inglés Series American Antiquity. Journal of the Society for American Archaeology ; no.2 | Soociety for American Archaeology ; Detalles de publicación: Estados Unidos-US : Society for American Archaeology, 1981.Descripción: páginas 381-396: ilustraciones blanco y negroTema(s): En: Society for American Archaeology American Antiquity. Journal of the Society for American ArchaeologyResumen: The application of extremely complex multivariate models of classification to subjective inspectional methods of categorization is analyzed in detail, with the widely used Texas system of dart point typology as a case study. The history of the development of the Texas dart point typological system is sketched. An attempt by Gunn and Prewitt (1975) to objectify the classificatory system by multivariate methods is criticized. The techniques applied were too idiosyncratic to the particular data set used to be of predictive value. Discriminant function and multivariate classification analysis are discussed in detail, emphasizing simple geometrical examples by which the major principles may be grosped. Suggestions for improvement are offered for those who wish to follow Gunn and Prewitt in constructing automatic classification schemes.
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Publicaciones Periodicas Extranjeras Publicaciones Periodicas Extranjeras Museo Nacional de Etnografía y Folklore Centro de procesamiento REV E/ AMER-ANT/ vol.46(2)/ Apr.1981/ Ej.1 1 Disponible HEMREV005120

The application of extremely complex multivariate models of classification to subjective inspectional methods of categorization is analyzed in detail, with the widely used Texas system of dart point typology as a case study. The history of the development of the Texas dart point typological system is sketched. An attempt by Gunn and Prewitt (1975) to objectify the classificatory system by multivariate methods is criticized. The techniques applied were too idiosyncratic to the particular data set used to be of predictive value. Discriminant function and multivariate classification analysis are discussed in detail, emphasizing simple geometrical examples by which the major principles may be grosped. Suggestions for improvement are offered for those who wish to follow Gunn and Prewitt in constructing automatic classification schemes.

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