Recently, the climatic analysis has been widely studied with artificial intelligence tools. The importance of this topic is based on the environment impact produced for natural variations of the data on a certain ecosystem. In this paper, a first study of meteorological parameters obtained with the Automatic Network of Atmospheric Monitoring (by its abbreviation in Spanish, RAMA) of the Toluca, Mexico, is exposed. The period studied includes from 2001 to 2008 year. The RAMA-Toluca includes seven monitoring stations located in the Toluca Valley. Using clustering algorithms, the experimental results establish the base for determinate the days distribution in clusters, which could be oriented to the natural cluster that the days have in climatic seasons. However, the results show a different situation than the awaited one. With this, the bases for future work in the climatic analysis context in the Toluca Valley.
Key words: Clustering analysis, environmental data, RAMA-Toluca, days distribution
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