A subspace recursive and selective feature transformation method for classification tasks
Abstract Background Practitioners and researchers often found the intrinsic representations of high-dimensional problems has much fewer independent variables. However such intrinsic structure may not be easily discovered due to noises and other factors. A supervised transformation scheme RST is prop...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-12-01
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| Series: | Big Data Analytics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s41044-017-0025-5 |