K-Means and C4.5 Decision Tree Based Prediction of Long-Term Precipitation Variability in the Poyang Lake Basin, China

K-Means and C4.5 Decision Tree Based Prediction of Long-Term Precipitation Variability in the Poyang Lake Basin, China

The machine learning algorithms application in atmospheric sciences along the Earth System Models has the potential of improving prediction, forecast, and reconstruction of missing data. In the current study, a combination of two machine learning techniques namely K-means, and decision tree (C4.5) a...

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Bibliographic Details
Main Authors: Dan Lou, Mengxi Yang, Dawei Shi, Guojie Wang, Waheed Ullah, Yuanfang Chai, Yutian Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Atmosphere
Subjects:
Poyang Lake basin
K-means
C4.5 decision tree
precipitation
climate indices
dynamics
Online Access:https://www.mdpi.com/2073-4433/12/7/834

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