ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
A hybrid ensemble classifier which combines the entropy based naive Bayes (ENB) classifier strategy and k-nearest neighbor (k-NN) is examined.The classifiers are joined in light of the fact that naive Bayes gives prior estimations taking into account entropy while k-NN gives neighborhood estimate to...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/19522/ http://doi.org/10.1063/1.4960933 |
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