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Performance assessment of fuzzy clustering models applied to urban airborne pollution

Performance assessment of fuzzy clustering models applied to urban airborne pollution,10.1109/CONIELECOMP.2011.5749362,Marco Antonio Aceves-Fernandez,

Performance assessment of fuzzy clustering models applied to urban airborne pollution  
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An application in modeling a non-lineal system between temperature, humidity and urban airborne air pollution is presented. In this contribution, the implementation of cluster estimation method as a basis of a fuzzy model identification algorithm has been developed. Fuzzy clustering allowed partitioning this complex non-linear system into many linear subsystems. Finally, comparison of the performance between two different clustering techniques for this particular case study is presented: Fuzzy C-means Clustering and Fuzzy Subtractive Clustering.
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