Predicting gold grade in Tarq 1:100000 geochemical map using the behavior of gold, Arsenic and Antimony by K-means method

The studied area could be found in Tarq 1:100000 Geochemicalmap. Initial geochemical investigation is done by Iran Geological Survey and Mineral Exploration (IGS) using stream sediments analysis method. This district mainly is covered by Precambrian to Quaternary Rocks. The geochemistry of the gold mineralization seems to be very important with regard to the sign of gold mineralization. Based on this aim, it is important to find the relationship of geochemical behavior of Au, As and Sb within the reported geochemical halo to determine both promising areas and gold estimated grade. To achieve this goal, K-means which is a powerful method has been applied. K-means is a clustering method based on minimizing sum of Euclidean distances of each sample from their own group centers. Here, the clustering quality function (S(i)) and the desirability of the cluster are used to find the optimized number of clusters. Finally, by taking into account the cluster centers and the results concerned, equations were presented for the prediction of the amount of the gold element in terms of four parameters: arsenic, antimony, X and Y associated to the sampling points. Also shown are the correlation coefficient of its validation equal to 72. The superiority of the results of the behavioral measurement of the elements related to this method were compared to the correl.