Application of Fuzzy C-mean Clustering Algorithm (FCM) in Decision Making about Geochemical Anomalies

چکیده مقاله

The determination of high potential regions, according to the segregation of the real anomalies, from those of false types of mineralization, has a syngenetic component. In this regard, the Fuzzy C-Means analysis is considered as a valid method that specifies the real high potential regions through elimination of syngenetic component based on the residual values. Two hundred and thirty five stream sediment samples were analyzed using

ICP 14-element analysis to determine the high potential regions of Pb and Zn in Hamedan province. After receiving the results, for data processing, the FCM method was applied. The calculations pertinent algorithm is written in Excel Software using Visual Basic Language. The data entered the program as input was those normalized using Cox and Box Method. This algorithm calculates the centers of clusters and considering the membership degree of each sample to the cluster center, the elements residual values were achieved.  Finally, through applying P.N method on the residual values achieved through FCM method, a regions was determined between the longitudinal coordinates of X=332000 & X=335000 and latitudinal coordinates Y=3923000 & y=3926000 for Pb and Zn. 

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