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ICONIP
2008
13 years 9 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...
RSKT
2009
Springer
14 years 16 days ago
A Time-Reduction Strategy to Feature Selection in Rough Set Theory
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Fe...
ISBI
2008
IEEE
14 years 8 months ago
Mutual information-based feature selection enhances fMRI brain activity classification
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
Bertrand Thirion, Cécilia Damon, Vincent Mi...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 4 days ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
AVBPA
2005
Springer
308views Biometrics» more  AVBPA 2005»
14 years 1 months ago
Biometric Recognition Using Feature Selection and Combination
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
Ajay Kumar, David Zhang