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.
[Presented at the Samahang Pisika ng Pilipinas (SPP) Congress, 2005.]