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Data Analysis pp 213–231Cite as

Tripled Comparison in Automatic Classification

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Abstract

In order to classify a given set, assume that the only available information about the resemblance between the elements of the set to be classified is of the following type: for each triplet (i,j,k) one knows which of the elements i and j is “more similar” to k. This structure is called a Triordonnance defined on the set to be classified. This report deals with new techniques to solve the above mentioned problem.

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References

  • S.Chah (1984a). Calcul des partitions optimales d’un critère d’adéquation à une préordonnance. Publication de l’ISUP, vol.XXIXFascicule I.

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Author information

Authors and Affiliations

  1. Centre Scientifique IBM-France, 36, Av. R.Poincaré, F-75116, Paris, France

    S. Chah

Authors
  1. S. Chah
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Editor information

Editors and Affiliations

  1. Free University of Brussels, Brussels, Belgium

    Jacques Janssen

  2. IBM Scientific Center, Paris, France

    F. Marcotorchino

  3. I.N.R.I.A., Le Chesnay, France

    J. M. Proth

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© 1987 Springer Science+Business Media New York

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Chah, S. (1987). Tripled Comparison in Automatic Classification. In: Janssen, J., Marcotorchino, F., Proth, J.M. (eds) Data Analysis. Competitive Methods in Operations Research and Data Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6790-5_17

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  • DOI: https://doi.org/10.1007/978-1-4615-6790-5_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-6792-9

  • Online ISBN: 978-1-4615-6790-5

  • eBook Packages: Springer Book Archive

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