Quantifying the impact of uninformative features on the performance of supervised classification and dimensionality reduction algorithms
Machine learning approaches have become critical tools in data mining and knowledge discovery, especially when attempting to uncover relationships in high-dimensional data. However, researchers have noticed that a large fraction of features in high-dimensional datasets are commonly uninformative (to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-12-01
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| Series: | APL Machine Learning |
| Online Access: | http://dx.doi.org/10.1063/5.0170229 |