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
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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
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