Assessing the Evolution of Meteorological Seasons and Climate Changes Using Hierarchical Clustering
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48573-2_17
Reference18 articles.
1. Ali-Ou-Salah, H., Oukarfi, B., Mouhaydine, T.: Short-term solar radiation forecasting using a new seasonal clustering technique and artificial neural network. Int. J. Green Energy 19(4), 424–434 (2022)
2. Aljanad, A., Tan, N.M., Agelidis, V.G., Shareef, H.: Neural network approach for global solar irradiance prediction at extremely short-time-intervals using particle swarm optimization algorithm. Energies 14(4), 1213 (2021)
3. Diday, E., Simon, J.C.: Clustering analysis. Springer, New York (1976)
4. Dyurgerov, M.B., Meier, M.F.: Twentieth century climate change: evidence from small glaciers. Proc. Natl. Acad. Sci. 97(4), 1406–1411 (2000)
5. Govender, P., Sivakumar, V.: Application of k-means and hierarchical clustering techniques for analysis of air pollution: a review (1980–2019). Atmos. Pollut. Res. 11(1), 40–56 (2020)
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