Un panorama des approximations en norme du supremum pour la classification
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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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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