Feature selection by mutual information: robust ranking on high- dimension low-sample-size data
Feature selection is a process of selecting a group of relevant features by removing unnecessary features for use in constructing the predictive model. The current benchmark for the data set is obtained by including all the features, such as redundancy and noise. Therefore, for this research, an opt...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
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| Online Access: | http://eprints.utar.edu.my/7067/1/THE_1002128.pdf http://eprints.utar.edu.my/7067/ |
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