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Please use this identifier to cite or link to this item: http://elib.bsu.by/handle/123456789/94324
Title: Multivariate outlier detection with compositional data
Authors: Filzmoser, P.
Hron, K.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2010
Publisher: Minsk: BSU
Abstract: Multivariate outlier detection is usually based on Mahalanobis distances, by plugging in robust estimates of location and covariance. For compositional data, carrying only relative information, a special transformation needs to be consulted in order to be able to work in the appropriate geometry. The e ect of the trans- formation is discussed in this contribution. Furthermore, di erent possibilities for the interpretation of the identi ed multivariate outliers are presented.
URI: http://elib.bsu.by/handle/123456789/94324
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