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» A rough set approach to multiple dataset analysis
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BMCBI
2005
94views more  BMCBI 2005»
15 years 1 months ago
Reproducible Clusters from Microarray Research: Whither?
Motivation: In cluster analysis, the validity of specific solutions, algorithms, and procedures present significant challenges because there is no null hypothesis to test and no &...
Nikhil R. Garge, Grier P. Page, Alan P. Sprague, B...
BMCBI
2007
166views more  BMCBI 2007»
15 years 1 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
CHI
2010
ACM
15 years 8 months ago
ManyNets: an interface for multiple network analysis and visualization
Traditional network analysis tools support analysts in studying a single network. ManyNets offers these analysts a powerful new approach that enables them to work on multiple netw...
Manuel Freire, Catherine Plaisant, Ben Shneiderman...
ICPR
2008
IEEE
16 years 2 months ago
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is reg...
Shiguang Shan, Shufu Xie, Wen Gao, Xilin Chen
JMLR
2002
157views more  JMLR 2002»
15 years 1 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh