Classification TEMP data with self-organizing maps
David Lahoz, Miguel San Miguel Marco · 2003
Abstract. Given the complexity of the data TEMP, meteorological measurements in height realized with weather balloon, is not habitual its directs use in the models of meteorolog-ical prediction. The majority of the models use some type of group of the such data as Analysis of Principal Components, Analysis Cluster and others. In this paper the classifi-cation is done with Self- Organizing Maps (SOM)(cf. [1]). Before there has been obtained the number of cluster in the data(cf. [2]). They are calculated the references classes in some data TEMP series measured in weather station of the INM (Instituto Nacional de Meteorología).