Generalized Distance Measures for Asymmetric Multivariate Distributions View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1998

AUTHORS

Marco Riani , Sergio Zani

ABSTRACT

1In this paper we suggest a non parametric generalization of the Mahalanobis distance which enables to take into account the differing spread of the data in the different directions. The output is an easy to handle metric which can be conveniently used both in an exploratory stage of the analysis for the detection of multivariate outliers and successively as a tool for non parametric discriminant analysis, multidimensional scaling and cluster analysis. In addition, the use of this metric can provide information about multivariate transformations and multiple outliers. More... »

PAGES

503-508

References to SciGraph publications

  • 1998. Robust Bivariate Boxplots and Visualization of Multivariate Data in CLASSIFICATION, DATA ANALYSIS, AND DATA HIGHWAYS
  • Book

    TITLE

    Advances in Data Science and Classification

    ISBN

    978-3-540-64641-9
    978-3-642-72253-0

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-72253-0_68

    DOI

    http://dx.doi.org/10.1007/978-3-642-72253-0_68

    DIMENSIONS

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