Estimation of grade Gold in khooni deposit using the behavior of gold, Arsenic and Antimony elements by clustering k-means method

Khooni exploratory area is located at 270 kilometers of Esfahan, and belongs to Central Iran geological zone. According to some instances expressing gold mineral forming in this area, make reconnaissance of favorable area as an essential fact. A well-known algorithm of clustering is K-Means by which the data are divided into K clusters on the basis of distance. In this analysis, using the K-Means method to classify the sampling of khooni district for Gold, Arsenic and Antimony elements. The optimal K value was determined and then the data were clustered and the behavioral characteristics were analyzed, and at the end relationships and equations with correlation coefficients were identified and the grade of gold were estimated based on four parameters Arsenic, Antimony content; length and width of the sampling points.