Climatic regionalization using Data Mining techniques: A case of study

This paper presents the use of Data Mining to provide similar climatologically zones or regions in the state of Michoacan, Mexico. Hydrologically, the availability of homogeneous regions allows to count on necessary data to establish a reliable water balance to assist in decision making aimed at to protect and to take advantage of rational way the water resources. Data sets used correspond to the climate records CLICOM stations (Climate Computing), established within Michoacan. The analysis of climate variability in the region based on these data sets is important because often only local analysis are made by extrapolating data, which is not always appropriate given the differences in climate, topography, vegetative and socio-economic the zones of a region, in this case the state of Michoacan.