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Jul 21, 2018 · In this paper we introduce the Generalized Metric Violation Distance (GMVD) problem, where the goal is the same, but the input graph is no ...
Metric Violation Distance: Revisited and Extended - ResearchGate
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In this paper we introduce the Generalized Metric Violation Distance (GMVD) problem, where the goal is the same, but the input graph is no longer required to be ...
Jul 21, 2018 · The Generalized Metric Violation Distance problem is introduced, and an approximation-preserving reduction from the well studied MultiCut ...
Chenglin Fan, Benjamin Raichel, Gregory Van Buskirk: Metric Violation Distance: Revisited and Extended. CoRR abs/1807.08078 (2018).
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In this paper we initiate the study of the metric violation distance problem: given a set of pairwise distances, modify the minimum number of distances such ...
Aug 8, 2024 · Metric Violation Distance: Hardness and Approximation. Algorithmica 84 ... Metric Violation Distance: Revisited and Extended. CoRR abs ...
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2019. Metric Violation Distance: Hardness and Approximation With Chenglin Fan and Gregory Van Buskirk. ACM ...
Metric data plays an important role in various settings, for example, in metric-based indexing, clustering, classification, and approximation algorithms in ...
In this article, we study a wide range of variants for computing the (discrete and continuous) Fréchet distance between uncertain curves ...
This paper formulates and solves the metric nearness problem: Given a set of pairwise dissimilarities, find a “nearest” set of distances that satisfy the ...