Graph-based data clustering with overlaps
DOI10.1016/j.disopt.2010.09.006zbMath1248.90070OpenAlexW1998839458WikidataQ57359689 ScholiaQ57359689MaRDI QIDQ456688
Johannes Uhlmann, Rolf Niedermeier, Michael R. Fellows, Christian Komusiewicz, Jiong Guo
Publication date: 16 October 2012
Published in: Discrete Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.disopt.2010.09.006
NP-hardnessfixed-parameter tractabilitykernelization\(W[1\)-hardness]cluster graph modification problemsforbidden subgraph characterization
Programming involving graphs or networks (90C35) Abstract computational complexity for mathematical programming problems (90C60)
Related Items (27)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Graph clustering
- Correlation clustering
- Graph-modeled data clustering: Exact algorithms for clique generation
- Fixed-parameter enumerability of cluster editing and related problems
- A more effective linear kernelization for cluster editing
- Going weighted: parameterized algorithms for cluster editing
- NP-hard problems in hierarchical-tree clustering
- Fixed-parameter tractability of graph modification problems for hereditary properties
- The maximum edge biclique problem is NP-complete
- NP-hard approximation problems in overlapping clustering.
- Cluster graph modification problems
- Applying modular decomposition to parameterized cluster editing problems
- Parametrized complexity theory.
- Generalized Graph Clustering: Recognizing (p,q)-Cluster Graphs
- The Cluster Editing Problem: Implementations and Experiments
- A 2k Kernel for the Cluster Editing Problem
- A More Relaxed Model for Graph-Based Data Clustering: s-Plex Editing
- Editing Graphs into Disjoint Unions of Dense Clusters
- Kernelization: New Upper and Lower Bound Techniques
- Algorithm Theory - SWAT 2004
- Efficient Parameterized Preprocessing for Cluster Editing
This page was built for publication: Graph-based data clustering with overlaps