Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature selection for high-dimensional genomic microarray data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Minimum Redundancy Feature Selection from Microarray Gene Expression Data
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Consistency-based search in feature selection
Artificial Intelligence
Redundant feature elimination for multi-class problems
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
On Feature Selection through Clustering
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Stability of feature selection algorithms: a study on high-dimensional spaces
Knowledge and Information Systems
Feature selection in a kernel space
Proceedings of the 24th international conference on Machine learning
Hybrid huberized support vector machines for microarray classification
Proceedings of the 24th international conference on Machine learning
Hybrid huberized support vector machines for microarray classification
Proceedings of the 24th international conference on Machine learning
Consensus group stable feature selection
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A General Framework of Feature Selection for Text Categorization
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Stable and Accurate Feature Selection
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Ensemble gene selection by grouping for microarray data classification
Journal of Biomedical Informatics
Ensemble gene selection for cancer classification
Pattern Recognition
A new text feature conversion method for text classification
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Review Article: Stable feature selection for biomarker discovery
Computational Biology and Chemistry
Margin based sample weighting for stable feature selection
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Feature rating by random subspaces for functional brain mapping
BI'10 Proceedings of the 2010 international conference on Brain informatics
Network-based sparse Bayesian classification
Pattern Recognition
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A novel stability based feature selection framework for k-means clustering
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
The Journal of Machine Learning Research
Model mining for robust feature selection
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking importance based information on the world wide web
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Feature extraction in protein sequences classification: a new stability measure
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Sparse high-dimensional fractional-norm support vector machine via DC programming
Computational Statistics & Data Analysis
Stable Feature Selection with Minimal Independent Dominating Sets
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Quality of information-based source assessment and selection
Neurocomputing
Feature selection for k-means clustering stability: theoretical analysis and an algorithm
Data Mining and Knowledge Discovery
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Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selection for knowledge discovery from high-dimensional data, and identify two causes of instability of feature selection algorithms: selection of a minimum subset without redundant features and small sample size. We propose a general framework for stable feature selection which emphasizes both good generalization and stability of feature selection results. The framework identifies dense feature groups based on kernel density estimation and treats features in each dense group as a coherent entity for feature selection. An efficient algorithm DRAGS (Dense Relevant Attribute Group Selector) is developed under this framework. We also introduce a general measure for assessing the stability of feature selection algorithms. Our empirical study based on microarray data verifies that dense feature groups remain stable under random sample hold out, and the DRAGS algorithm is effective in identifying a set of feature groups which exhibit both high classification accuracy and stability.