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An Approximation Algorithm for l∞-Fitting Robinson Structures to Distances
Chepoi V., Seston M.
26th International Symposium on Theoretical Aspects of Computer Science STACS 2009, Freiburg : Germany (2009) - http://hal.inria.fr/inria-00359296
Peer-reviewed conferences/proceedings
Computer Science/Data Structures and Algorithms
Computer Science/Computational Complexity
An Approximation Algorithm for l∞-Fitting Robinson Structures to Distances
Victor Chepoi () 1, Morgan Seston () 1
1:  Laboratoire d'informatique Fondamentale de Marseille (LIF)
http://www.lif.univ-mrs.fr/
CNRS : UMR6166 – Université de la Méditerranée - Aix-Marseille II – Université de Provence - Aix-Marseille I
CMI 39, Rue Joliot Curie 13453 MARSEILLE CEDEX 13
France
In this paper, we present a factor 16 approximation algorithm for the following NP-hard distance fitting problem: given a finite set X and a distance d on X, find a Robinsonian distance dR on X minimizing the l∞-error ||d − dR||∞ = maxx,y∈X {|d(x, y) − dR(x, y)|}. A distance dR on a finite set X is Robinsonian if its matrix can be symmetrically permuted so that its elements do not decrease when moving away from the main diagonal along any row or column. Robinsonian distances generalize ultrametrics, line distances and occur in the seriation problems and in classification.
English

2009
international
26th International Symposium on Theoretical Aspects of Computer Science STACS 2009
Freiburg
Germany
2009-02-26
Susanne Albers and Jean-Yves Marion
IBFI Schloss Dagstuhl
Proceedings of the 26th Annual Symposium on the Theoretical Aspects of Computer Science
265-276

Robinsonian dissimilarity – approximation algorithm – fitting problem
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