A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information

Author:

Lee Kee-Cheol

Publisher

Springer Berlin Heidelberg

Reference9 articles.

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1. Improving Performance of the k-Nearest Neighbor Classifier by Combining Feature Selection with Feature Weighting.;Transactions of the Japanese Society for Artificial Intelligence;2002

2. Combining Feature Selection with Feature Weighting for k-NN Classifier;Intelligent Data Engineering and Automated Learning — IDEAL 2002;2002

3. A Hybrid Method of Feature Subset Selection;Journal of Japan Society for Fuzzy Theory and Systems;2002

4. Missing Value Estimation Based on Dynamic Attribute Selection;Knowledge Discovery and Data Mining. Current Issues and New Applications;2000

5. Fast Feature Selection using Partial Correlation for Multi-valued Attributes;Principles of Data Mining and Knowledge Discovery;2000

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