Journal of
Engineering and Computer Innovations

  • Abbreviation: J. Eng. Comput. Innov.
  • Language: English
  • ISSN: 2141-6508
  • DOI: 10.5897/JECI
  • Start Year: 2010
  • Published Articles: 32

Full Length Research Paper

Clustering analysis: A case study of the environmental data of RAMA-Toluca

Miguel Sánchez Sotelo1, Rosa María Valdovinos Rosas1*, Roberto Alejo Eleuterio2, Edgar Herrera3 and Eduardo Gasca4
  1Universidad Autonóma del Estado de México, Centro Universitario Valle de Chalco, Hermenegildo Galena No.3, 56615, Valle de Chalco, México. 2Tecnológico de Estudios Superiores de Jocotitlan, Carr. Toluca-Atlacomulco Km 44.8, 50700, Jocotitlan, México. 3Instituto Nacional de Investigación Nuclear ININ, Carr. Mexico-Toluca s/n, 52750, La Marquesa, Mexico. 4Instituto Tecnológico de Toluca, Av. Tecnológico s/n, 52140, Metepec, Mexico.
Email: [email protected]

  •  Accepted: 07 January 2011
  •  Published: 28 February 2011



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