Average parameterization and partial kernelization for computing medians

DOI10.1016/j.jcss.2010.07.005zbMath1215.68107OpenAlexW2058293112MaRDI QIDQ716309

Rolf Niedermeier, Jiong Guo, Nadja Betzler, Christian Komusiewicz

Publication date: 28 April 2011

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2010.07.005

zbMATH Keywords

data reductionfixed-parameter tractabilityrank aggregationpolynomial-time preprocessingconsensus clustering

Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Voting theory (91B12)

Related Items (16)

The linear ordering problem revisited ⋮ Parameterized Algorithms for Power-Efficient Connected Symmetric Wireless Sensor Networks ⋮ Studies in Computational Aspects of Voting ⋮ Prices matter for the parameterized complexity of shift bribery ⋮ Space reduction constraints for the median of permutations problem ⋮ A unifying rank aggregation framework to suitably and efficiently aggregate any kind of rankings ⋮ Voting rules as error-correcting codes ⋮ Sampling and learning Mallows and generalized Mallows models under the Cayley distance ⋮ Exploring the median of permutations problem ⋮ Automedian sets of permutations: direct sum and shuffle ⋮ Cluster editing: kernelization based on edge cuts ⋮ Partially Polynomial Kernels for Set Cover and Test Cover ⋮ On the parameterized complexity of consensus clustering ⋮ Partial Kernelization for Rank Aggregation: Theory and Experiments ⋮ Medians of Permutations: Building Constraints ⋮ Cluster Editing in Multi-Layer and Temporal Graphs.

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