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WaveletKNN
View on CRAN: Click
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Download and install WaveletKNN package within the R console
Install from CRAN:
install.packages("WaveletKNN")
Install from Github:
library("remotes")
install_github("cran/WaveletKNN")
Install by package version:
library("remotes")
install_version("WaveletKNN", "0.1.0")
Attach the package and use:
library("WaveletKNN")
Maintained by
Dr. Md Yeasin
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[Scholar Profile | Author Map]
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First Published: 2023-04-05
Latest Update: 2023-04-05
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>.
How to cite:
Dr. Md Yeasin (2023). WaveletKNN: Wavelet Based K-Nearest Neighbor Model. R package version 0.1.0, https://cran.r-project.org/web/packages/WaveletKNN. Accessed 21 Nov. 2024.
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