Approximation and Tidying—A Problem Kernel for s-Plex Cluster Vertex Deletion
نویسندگان
چکیده
منابع مشابه
Kernelization Through Tidying---A Case Study Based on s-Plex Cluster Vertex Deletion
We introduce the NP-hard graph-based data clustering problem s-Plex Cluster Vertex Deletion, where the task is to delete at most k vertices from a graph so that the connected components of the resulting graph are s-plexes. In an s-plex, every vertex has an edge to all but at most s − 1 other vertices; cliques are 1-plexes. We propose a new method for kernelizing a large class of vertex deletion...
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ژورنال
عنوان ژورنال: Algorithmica
سال: 2011
ISSN: 0178-4617,1432-0541
DOI: 10.1007/s00453-011-9492-7