Robust factor analysis for compositional data

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Robust factor analysis for compositional data

Factor analysis as a dimension reduction technique is widely used with compositional data. Using the method for raw data or for improperly transformed data will, however, lead to biased results and consequently to misleading interpretations. Although some procedures, suitable for factor analysis with compositional data, were already developed, they require pre-knowledge of variable groups, or a...

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Robust Methods for Compositional Data

Abstract. Many practical data sets in environmental sciences, official statistics and various other disciplines are in fact compositional data because only the ratios between the variables are informative. Compositional data are represented in the Aitchison geometry on the simplex, and for applying statistical methods designed for the Euclidean geometry they need to be transformed first. The is...

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the use of robust factor analysis of compositional geochemical data for the recognition of the target area in khusf 1:100000 sheet, south khorasan, iran

the closed nature of geochemical data has been proven in many studies. compositional data have special properties that mean that standard statistical methods cannot be used to analyse them. these data imply a particular geometry called aitchison geometry in the simplex space. for analysis, the dataset must first be opened by the various transformations provided. one of the most popular of the a...

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ژورنال

عنوان ژورنال: Computers & Geosciences

سال: 2009

ISSN: 0098-3004

DOI: 10.1016/j.cageo.2008.12.005