The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Normalized Mutual Information Feature Selection
Open accessAbstract
A filter method of feature selection based on mutual information, called normalized mutual information feature selection (NMIFS), is presented. NMIFS is an enhancement over Battiti's MIFS, MIFS-U, and mRMR methods. The average normalized mutual information is proposed as a measure of redundancy among features. NMIFS outperformed MIFS, MIFS-U, and mRMR on several artificial and benchmark data sets without requiring a user-defined parameter. In addition, NMIFS is combined with a genetic algorithm to form a hybrid filter/wrapper method called GAMIFS. This includes an initialization procedure and a mutation operator based on NMIFS to speed up the convergence of the genetic algorithm. GAMIFS overcomes the limitations of incremental search algorithms that are unable to find dependencies between groups of features.
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Cited by
Machine Learning Applications in Cancer Prognosis and Prediction
Kourou, K., Exarchos, T. P., Exarchos, K. P., Karamouzis, M. V., & Fotiadis, D. I. (2015) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2014.11.005 · Cited by 3,338
A review of feature selection methods based on mutual information
Vergara, J. R., & Estévez, P. A. (2014) · Neural Computing and Applications · doi:10.1007/s00521-013-1368-0 · Cited by 1,255
Ghamisi, P., Yokoya, N., Li, J., Liao, W., Liu, S., Plaza, J., Rasti, B., & Plaza, A. (2017) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2017.2762087 · Cited by 909
A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes
Jiang, Y., Yin, S., Dong, J., & Kaynak, O. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3033153 · Cited by 667
Feature selection using Joint Mutual Information Maximisation
Bennasar, M., Hicks, Y., & Setchi, R. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.07.007 · Cited by 659
Metadata
- Authors
- Estevez, P. A., Tesmer, M., Perez, C. A., & Zurada, J. M.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2009-02
- Volume
- 20
- Issue
- 2
- Pages
- 189-201
- ISSN
- 1045-9227 (ISSN-L)
- 1941-0093
- OpenAlex
- W2156483112
- Cited by
- 1,288
- References
- 41
- FWCI
- 35.42
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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