A RPCA-Based Tukey's Biweight for Clustering Identification on Extreme Rainfall Data

Published on Jun 1, 2021in Environment and Ecology Research
· DOI :10.13189/EER.2021.090303
Siti Mariana Che Mat Nor2
Estimated H-index: 2
,
Shazlyn Milleana Shaharudin4
Estimated H-index: 4
+ 1 AuthorsKismiantini Kismiantini1
Estimated H-index: 1
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Monthly precipitation data during the period of 1970 to 2019 obtained from the Meteorological, Climatological and Geophysical Agency database were used to analyze regionalized precipitation regimes in Yogyakarta, Indonesia. There were missing values in 52.6% of the data, which were handled by a hybrid random forest approach and bootstrap method (RF-Bs). The present approach addresses large missing values and also reduces the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE) in the ...
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