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» Redundancy based feature selection for microarray data
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CAINE
2008
14 years 11 months ago
Hierarchical Clustering of Features on Categorical Data of Biomedical Applications
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
Yi Lu, Lily R. Liang
TVCG
2011
170views more  TVCG 2011»
14 years 4 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...
SSDBM
2010
IEEE
133views Database» more  SSDBM 2010»
14 years 7 months ago
PrefIndex: An Efficient Supergraph Containment Search Technique
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, H...
ICMLA
2010
14 years 7 months ago
A New Approach to Classification with the Least Number of Features
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
Sascha Klement, Thomas Martinetz
BMCBI
2010
138views more  BMCBI 2010»
14 years 10 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...