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Un panorama des approximations en norme du supremum pour la classification

An overview of approximations with the supremum norm for classification
Bernard Fichet and Morgan Seston
p. 89-113

Abstracts

In a general framework where the concepts of subdominant/updominated play a crucial role, we give a vast overview of approximations with the supremum norm for many structures of classi-fication: (partial or nonpartial) ultrametrics,k-ultrametrics, convex and isotonic regressions. For tree semi-distances/dissimilarities and Robinsonian dissimilarities, we show how the general approach leads us to algorithms with a constant factor.

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References

Bibliographical reference

Bernard Fichet and Morgan Seston, “Un panorama des approximations en norme du supremum pour la classification”Mathématiques et sciences humaines, 190 | 2010, 89-113.

Electronic reference

Bernard Fichet and Morgan Seston, “Un panorama des approximations en norme du supremum pour la classification”Mathématiques et sciences humaines [Online], 190 | Eté 2010, Online since 16 October 2010, connection on 11 September 2026. URL: http://journals.openedition.org/msh/11746; DOI: https://doi.org/10.4000/msh.11746

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About the authors

Bernard Fichet

Laboratoire d’informatique fondamentale, 163, avenue de Luminy, Case 901, 13288 Marseille Cedex 9, bernard.fichet@lif.univ-mrs.fr

Morgan Seston

Unité des virus émergents, 27, bd Jean Moulin, 13385 Marseille Cedex 5, morgan.seston@ird.fr

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Copyright

The text and other elements (illustrations, imported files) are “All rights reserved”, unless otherwise stated.

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