[PDF][PDF] Recent Advances in Practical Data Reduction.

FN Abu-Khzam, S Lamm, M Mnich, A Noe… - Algorithms for Big …, 2022 - library.oapen.org
Over the last two decades, significant advances have been made in the design and analysis
of fixed-parameter algorithms for a wide variety of graphtheoretic problems. This has …

Haplotype threading: accurate polyploid phasing from long reads

SD Schrinner, RS Mari, J Ebler, M Rautiainen, L Seillier… - Genome biology, 2020 - Springer
Resolving genomes at haplotype level is crucial for understanding the evolutionary history of
polyploid species and for designing advanced breeding strategies. Polyploid phasing still …

Using anticlustering to partition data sets into equivalent parts.

M Papenberg, GW Klau - Psychological Methods, 2021 - psycnet.apa.org
Numerous applications in psychological research require that a pool of elements is
partitioned into multiple parts. While many applications seek groups that are well-separated …

[HTML][HTML] Cluster editing with locally bounded modifications

C Komusiewicz, J Uhlmann - Discrete Applied Mathematics, 2012 - Elsevier
Given an undirected graph G=(V, E) and a nonnegative integer k, the NP-hard Cluster
Editing problem asks whether G can be transformed into a disjoint union of cliques by …

Kernelization: New upper and lower bound techniques

HL Bodlaender - … and Exact Computation: 4th International Workshop …, 2009 - Springer
In this survey, we look at kernelization: algorithms that transform in polynomial time an input
to a problem to an equivalent input, whose size is bounded by a function of a parameter …

Cluster editing

S Böcker, J Baumbach - Conference on Computability in Europe, 2013 - Springer
Abstract The Cluster Editing problem asks to transform a graph into a disjoint union of
cliques using a minimum number of edge modifications. Although the problem has been …

[HTML][HTML] Graph-based data clustering with overlaps

MR Fellows, J Guo, C Komusiewicz, R Niedermeier… - Discrete …, 2011 - Elsevier
We introduce overlap cluster graph modification problems where, other than in most
previous works, the clusters of the target graph may overlap. More precisely, the studied …

[HTML][HTML] A golden ratio parameterized algorithm for cluster editing

S Böcker - Journal of Discrete Algorithms, 2012 - Elsevier
The Cluster Editing problem asks to transform a graph by at most k edge modifications into a
disjoint union of cliques. The problem is NP-complete, but several parameterized algorithms …

[HTML][HTML] Tight bounds for parameterized complexity of cluster editing with a small number of clusters

FV Fomin, S Kratsch, M Pilipczuk, M Pilipczuk… - Journal of Computer and …, 2014 - Elsevier
Abstract In the Cluster Editing problem, also known as Correlation Clustering, we are given
an undirected n-vertex graph G and a positive integer k. The task is to decide if G can be …

The PACE 2021 parameterized algorithms and computational experiments challenge: Cluster editing

L Kellerhals, T Koana, A Nichterlein… - … on Parameterized and …, 2021 - drops.dagstuhl.de
Abstract The Parameterized Algorithms and Computational Experiments challenge (PACE)
2021 was devoted to engineer algorithms solving the NP-hard Cluster Editing problem, also …