Multivariate classification methods in planetary sciences

Details Multivariate classification methods in planetary sciences Multivariate classification methods in planetary sciences

Nov 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992em%26p...59..141g&link_type=abstract

Earth, Moon, and Planets (ISSN 0167-9295), vol. 59, no. 2, p. 141-152.

Physics

10

Classifying, Planetary Systems, Algorithms, Asteroids, Geochemistry, Multivariate Statistical Analysis

Scientific paper

The problem of the classification of natural samples is discussed. An updated version of the G-mode multivariate statistical method for the classification of natural samples, applicable to a wide range of research fields, is discussed. This method allows an automatic classification in terms of homogeneous taxonomic units, without any a priori knowledge of the taxonomic structure of the natural observations; it provides informations on the different levels of classification present in the data set under study (classes and subclasses), on the level of information residing in each variable, on the level of similarity and/or difference among homogeneous classes.

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