Rainfall patterns and self organizing feature maps

Authors

  • Francia B. Avila ⋅ PH Manila Observatory, Ateneo de Manila University Campus
  • Jose T. Villarin, S.J. ⋅ PH Manila Observatory, Ateneo de Manila University Campus

Abstract

This paper investigates the use of self organizing feature maps (SOFMs) as an objective method for classifying rainfall data to identify climate types. Results show that SOFMs are effective clustering tools for nonlinear climate data such as precipitation.

SPP 2005 Proceedings Cover

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Published

2005-10-26

Issue

2005: Proceedings of the 23rd Samahang Pisika ng Pilipinas Physics Congress

Section

Poster Session PB

License

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How to Cite

[1]
“Rainfall patterns and self organizing feature maps”, Proc. SPP, vol. 23, no. 1, p. SPP-2005-PB-54, Oct. 2005, Accessed: Apr. 04, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2005-PB-54