Feature selection for binary classification based on class labeling, SOM, and hierarchical clustering
Feature selection plays an important role in algorithms for processing high-dimensional data. Traditional pattern classification and information theory methods are widely applied to feature selection methods. However, traditional pattern classification methods such as Fisher Score, Laplacian Score,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-11-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940231173748 |