Instance reduction for one-class classification
Instance reduction techniques are data preprocessing methods originally developed to enhance the nearest neighbor rule for standard classification. They reduce the training data by selecting or generating representative examples of a given problem. These algorithms have been designed and widely anal...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018
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| Online Access: | http://eprints.nottingham.ac.uk/52077/ http://eprints.nottingham.ac.uk/52077/ http://eprints.nottingham.ac.uk/52077/ http://eprints.nottingham.ac.uk/52077/1/OCCProtRed.pdf |