A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information
Baoji University of Arts and Sciences
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Abstract
No abstract available for this paper.
Citation impact
265
total citations
- FWCI
- 59.23
- Percentile
- 100%
- References
- 43
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Authors
5Topics & keywords
Topics
Keywords
- Computer science
- Feature selection
- Mutual information
- Pearson product-moment correlation coefficient
- Pattern recognition (psychology)
- Support vector machine
- Artificial intelligence
- Redundancy (engineering)
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Funding
- NNNational Natural Science Foundation of ChinaAward: 61573266
- EDEducation Department of Shaanxi ProvinceAward: 18JK0045
- DSDoctoral Scientific Research Starting Foundation of Baoji University of Arts and ScienceAward: 209040122
- NSNatural Science Basic Research Program of Shaanxi ProvinceAward: 2023-JC-YB-632