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» Going Weighted: Parameterized Algorithms for Cluster Editing
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COCOA
2008
Springer
13 years 6 months ago
Going Weighted: Parameterized Algorithms for Cluster Editing
The goal of the Cluster Editing problem is to make the fewest changes to the edge set of an input graph such that the resulting graph is a disjoint union of cliques. This problem i...
Sebastian Böcker, Sebastian Briesemeister, Qu...
BMCBI
2007
265views more  BMCBI 2007»
13 years 5 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
SIGIR
2011
ACM
12 years 7 months ago
Parameterized concept weighting in verbose queries
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
Michael Bendersky, Donald Metzler, W. Bruce Croft
WWW
2006
ACM
14 years 5 months ago
GoGetIt!: a tool for generating structure-driven web crawlers
We present GoGetIt!, a tool for generating structure-driven crawlers that requires a minimum effort from the users. The tool takes as input a sample page and an entry point to a W...
Altigran Soares da Silva, Edleno Silva de Moura, J...
TCS
2010
13 years 3 months ago
Clustering with partial information
The Correlation Clustering problem, also known as the Cluster Editing problem, seeks to edit a given graph by adding and deleting edges to obtain a collection of disconnected cliq...
Hans L. Bodlaender, Michael R. Fellows, Pinar Hegg...