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Extraction of environmental information from large aerosol data sets through combined application of cluster and factor analyses

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Abstract

To reveal useful environmental information which is contained in large analytical data sets, an approach, based on the successive application of hierarchical cluster analysis and factor analysis, is proposed. Estimation criteria to determine the most suitable number of clusters and/or factors, are discussed and the interpretation of the cluster and factor analyses results is performed using visual techniques. The data sets were obtained by scanning electron microscope-energy-dispersive X-ray analysis of individual North Sea aerosol particles.

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Authors and Affiliations

  1. Department of Chemistry, University of Antwerp (UIA), Universiteitsplein 1, B-2610, Antwerp, Belgium

    Lieve A. De Bock & René E. Van Grieken

  2. Royal Meteorological Institute, Ringlaan 3, B-1180, Brussels, Belgium

    Ludo Van der Auwera

Authors
  1. Lieve A. De Bock
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  2. Boris Treiger
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  3. Ludo Van der Auwera
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  4. René E. Van Grieken
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De Bock, L.A., Treiger, B., Van der Auwera, L. et al. Extraction of environmental information from large aerosol data sets through combined application of cluster and factor analyses. Mikrochim Acta 128, 191–200 (1998). https://doi.org/10.1007/BF01243049

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  • DOI: https://doi.org/10.1007/BF01243049

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