Title :
Comparison between Fuzzy C-means clustering and Fuzzy Clustering Subtractive in urban air pollution
Author :
Collazo-Cuevas, J.I. ; Aceves-Fernandez, M.A. ; Gorrostieta-Hurtado, E. ; Pedraza-Ortega, J.C. ; Sotomayor-Olmedo, A. ; Delgado-Rosas, M.
Author_Institution :
Univ. del Valle de Mexico (UVM), Queretaro, Mexico
Abstract :
Clustering is generally associated with classification problem. In this contribution, the implementation of cluster estimation method as a basis of a fuzzy model identification algorithm has been developed. A comparison between two different clustering techniques is presented, Fuzzy C-means clustering and Fuzzy Clustering Subtractive. Also, an application in modeling the relationship between temperature, humidity and PM10 concentration in urban air pollution in Liverpool at northwest of England is presented.
Keywords :
fuzzy set theory; pattern clustering; cluster estimation method; clustering techniques; fuzzy C-means clustering; fuzzy clustering subtractive; fuzzy model identification; urban air pollution; Air pollution; Clustering algorithms; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Humans; Mathematical model; Pattern recognition; Telecommunications; Fuzzy model identification; fuzzy c-means; fuzzy clustering subtractive;
Conference_Titel :
Electronics, Communications and Computer (CONIELECOMP), 2010 20th International Conference on
Conference_Location :
Cholula
Print_ISBN :
978-1-4244-5352-8
Electronic_ISBN :
978-1-4244-5353-5
DOI :
10.1109/CONIELECOMP.2010.5440772
