Sparse Nonlinear Feature Selection Algorithm via Local Structure Learning
In this paper, we propose a new unsupervised feature selection algorithm by considering the nonlinear and similarity relationships within the data. To achieve this, we apply the kernel method and local structure learning to consider the nonlinear relationship between features and the local similarit...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ital Publication
2019-04-01
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| Series: | Emerging Science Journal |
| Subjects: | |
| Online Access: | http://ijournalse.org/index.php/ESJ/article/view/145 |