| Name : R-WaveletKNN
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.6.1
| Date : 2024-07-04 14:10:27
|
| Group : Development/Libraries/Other
| Source RPM : R-WaveletKNN-0.1.0-lp155.6.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Wavelet Based K-Nearest Neighbor Model
|
Description :
The employment of the Wavelet decomposition technique proves to be
highly advantageous in the modelling of noisy time series data. Wavelet
decomposition technique using the \"haar\" algorithm has been
incorporated to formulate a hybrid Wavelet KNN (K-Nearest Neighbour)
model for time series forecasting, as proposed by Anjoy and Paul (2017)
< DOI:10.1007/s00521-017-3289-9>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
