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[PDF][PDF] Recent Advances in Practical Data Reduction.
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 …
of fixed-parameter algorithms for a wide variety of graphtheoretic problems. This has …
Haplotype threading: accurate polyploid phasing from long reads
Resolving genomes at haplotype level is crucial for understanding the evolutionary history of
polyploid species and for designing advanced breeding strategies. Polyploid phasing still …
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 …
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 …
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 …
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 …
cliques using a minimum number of edge modifications. Although the problem has been …
[HTML][HTML] Graph-based data clustering with overlaps
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 …
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 …
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
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 …
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
Abstract The Parameterized Algorithms and Computational Experiments challenge (PACE)
2021 was devoted to engineer algorithms solving the NP-hard Cluster Editing problem, also …
2021 was devoted to engineer algorithms solving the NP-hard Cluster Editing problem, also …