Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
An introduction to variable and feature selection
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Using recursive classification to discover predictive features
Proceedings of the 2005 ACM symposium on Applied computing
Artificial Intelligence with Uncertainty
Artificial Intelligence with Uncertainty
Feature ranking for text classifiers
Feature ranking for text classifiers
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Feature selection has been studied widely in literatures in supervised learning scenarios. Feature selection methods are categorized into two classes: "wrapper" and "filter" approaches. In this paper, we propose a filter method called Cloud score based on Membership Cloud model in fuzzy field. We determine the discrimination power of a certain feature by Cloud score to evaluate the feature's importance. This method is compared with Variance and Fisher score methods on UCI Iris dataset. The results of the experiments demonstrate the feasibility of our algorithm.