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BMCBI
2008
166views more  BMCBI 2008»
13 years 8 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
14 years 1 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
HM
2005
Springer
140views Optimization» more  HM 2005»
14 years 2 months ago
Fast Ejection Chain Algorithms for Vehicle Routing with Time Windows
Abstract. This paper introduces a new algorithm, based on the concept of ejection chains, to effectively target vehicle routing problems with time window constraints (VRPTW). Ejec...
Herman Sontrop, Pieter van der Horn, Marc Uetz
GECCO
2009
Springer
143views Optimization» more  GECCO 2009»
14 years 3 months ago
Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instances
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising, for example, in network design when quality of service is of concern. ...
Martin Gruber, Günther R. Raidl
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
12 years 11 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...