Anomaly detection in geochemistry is an essential technique for exploration. A geochemical anomaly is identified as an area that concentration of elements is greater than threshold value, which is common in traditional and modern methods. In this thesis separation of anomaly from background is completed over Kouh Panj copper deposit including 612 rock samples that are analyzed for 43 elements and seven exploratory boreholes and in Moin abad polymetal deposit from employing 192 litogeochemical samples that are analyzed for 28 elements. For separating anomalies from background univariate statistical method, median absolute deviation statistical method, cluster analysis, fuzzy c-means clustering analysis, principal component analysis, fractal geometry, linear discriminant analysis and quadratic discriminant analysis have been tested. Based on results of these analysis in Kuh Panj copper deposit broad anomaly was detected in the central part of the region with a northwest – southeast trend, also linear discrimination analysis has 74.2% data justify; LINE-HEIGHT: normal; MARGIN: 0cm 0cm 0pt"
