An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features
Multi-class imbalance shape-based leaf image features requires feature subset that appropriately represent the leaf shape.Multi-class imbalance data is a type of data classification problem in which some data classes is highly underrepresented compared to others.This occurs when at least one data cl...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Universiti Teknikal Malaysia Melaka
2017
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/21735/1/JTECE%20%209%20%201-2%202017%2057%2061.pdf http://repo.uum.edu.my/21735/ http://journal.utem.edu.my/index.php/jtec/article/view/1656 |
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