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» An Evaluation on Feature Selection for Text Clustering
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105
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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 24 days ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
15 years 6 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
BMCBI
2010
113views more  BMCBI 2010»
14 years 12 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
94
Voted
IDA
2002
Springer
14 years 11 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
ICIP
2003
IEEE
16 years 1 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...