FSDAM: Forward Stepwise Deep Autoencoder-Based Monotone NLDR (original) (raw)
FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.
| Version: | 2024.7-30 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | kyotil, reticulate (≥ 1.10) |
| Suggests: | R.rsp, RUnit |
| Published: | 2024-07-31 |
| DOI: | 10.32614/CRAN.package.FSDAM |
| Author: | Youyi Fong [cre], Jun Xu [aut] |
| Maintainer: | Youyi Fong |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | FSDAM results |
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