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IJCNN
2008
IEEE
14 years 5 days ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
CORR
2011
Springer
144views Education» more  CORR 2011»
12 years 9 months ago
Rank Aggregation via Nuclear Norm Minimization
The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
David F. Gleich, Lek-Heng Lim
ICDCIT
2005
Springer
13 years 11 months ago
FlexiRank: An Algorithm Offering Flexibility and Accuracy for Ranking the Web Pages
The existing search engines sometimes give unsatisfactory search result for lack of any categorization. If there is some means to know the preference of user about the search resul...
Debajyoti Mukhopadhyay, Pradipta Biswas
ISAAC
2010
Springer
245views Algorithms» more  ISAAC 2010»
13 years 3 months ago
Alphabet Partitioning for Compressed Rank/Select and Applications
Jérémy Barbay, Travis Gagie, Gonzalo...
BMCBI
2007
179views more  BMCBI 2007»
13 years 5 months ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...