| Name : R-nntrf
| |
| Version : 0.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.7.8
| Date : 2024-06-14 12:06:50
|
| Group : Development/Libraries/Other
| Source RPM : R-nntrf-0.1.4-lp153.7.8.src.rpm
|
| Size : 2.49 MB
| |
| Packager : (none)
| |
| Summary : Supervised Data Transformation by Means of Neural Network Hidden Layer
|
Description :
A supervised transformation of datasets is performed. The aim is
similar to that of Principal Component Analysis (PCA), that is, to
carry out data transformation and dimensionality reduction, but in a
supervised way. This is achieved by first training a 3-layer
Multi-Layer Perceptron and then using the activations of the hidden
layer as a transformation of the input features. In fact, it takes
advantage of the change of representation provided by the hidden layer
of a neural network. This can be useful as data pre-processing for
Machine Learning methods in general, specially for those that do not
work well with many irrelevant or redundant features. It uses the nnet
package under the hood. Valls, J.M., Aler, R., Galvan, I.M., and
Camacho, D. (2021). \"Supervised data transformation and dimensionality
reduction with a 3-layer multi-layer perceptron for classification
problems\". < doi:10.1007/s12652-020-02841-y> Rumelhart, D.E., Hinton,
G.E. and Williams, R.J. (1986) \"Learning representations by
back-propagating errors\" < doi:10.1038/323533a0>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
