[1] Khakzad, A.Jafari, H. R. (2003). Mineralogy, paragenesis and economic geology of copper deposits in the Hararan area, Kerman province. Proc. 10th Symposium of Crystallography and Mineralogy of Iran. (In Persian).
[2] Akbarpour, A.,Gholami, N.,Azizi, H.Torab, F. M. (2012). Cluster and R-mode factor analyses on soil geochemical data of Masjed-Daghi exploration area, northwestern Iran. Arabian Journal of Geosciences, 6 (9), 3397-3408.
[3] Hassanipak, A. A. (2005).Designing of exploration projects (geochemical, geophysical and drilling).Tehran University Press. (In Persian)
[4] Mokhtari, A. R. (2014). Hydrothermal alteration mapping through multivariate logistic regression analysis of lithogeochemical data. Journal of Geochemical Exploration, 145 (0), 207-212.
[5] Soltani, F.,Afzal, P.Asghari, O. (2014). Delineation of alteration zones based on Sequential Gaussian Simulation and concentration–volume fractal modeling in the hypogene zone of Sungun copper deposit, NW Iran. Journal of Geochemical Exploration, 140 (0), 64-76.
[6] Praveena, S.,Ahmed, A.,Radojevic, M.,Abdullah, M. H.Aris, A. (2007). Factor-cluster analysis and enrichment study of mangrove sediments-an example from Mengkabong, Sabah. Malaysian J.Anal.Sci, 11 (2), 421-430.
[7] Roy, A. (1981). Application of cluster analysis in the interpretation of geochemical data from the Sargipalli lead-zinc mine area, Sundergarh district, Orissa (India). Journal of Geochemical Exploration, 14245-264.
[8] El-Makky, A. M. (2011). Statistical Analyses of La, Ce, Nd, Y, Nb, Ti, P, and Zr in Bedrocks and Their Significance in Geochemical Exploration at the Um Garayat Gold Mine Area, Eastern Desert, Egypt. Natural resources research, 20 (3), 157-176.
[9] Nude, P. M. (2012). Identifying Pathfinder Elements for Gold in Multi-Element Soil Geochemical Data from the Wa-Lawra Belt, Northwest Ghana: A Multivariate Statistical Approach. International Journal of Geosciences, 03 (01), 62-70.
[10] Embui, V. F.,Omang, B. O.,Che, V. B.,Nforba, M. T.Suh, E. C. (2013). Gold grade variation and stream sediment geochemistry of the Vaimba-Lidi drainage system, northern Cameroon (West Africa). Natural Science, 5282.
[11] Yaylalı-Abanuz, G.,Tüysüz, N.Akaryalı, E. (2012). Soil geochemical prospection for gold deposit in the Arzular area (NE Turkey). Journal of Geochemical Exploration, 112 (0), 107-117.
[12] Darwish, M. a. G.Poellmann, H. (2010). Geochemical exploration for gold in the Nile Valley Block (A) area, Wadi Allaqi, South Egypt. Chemie der Erde-Geochemistry, 70 (4), 353-362.
[13] Honarpazhouh, J.,Hassanipak, A. A.Seifpanahi Shabani, K. (2013). Integration of Stream Sediment Geochemical and Aster Data for Porphyry Copper Deposit Exploration in Khatun Abad, North West of Iran/Integracja geochemicznych danych o osadach dennych oraz danych pozyskanych z systemu aster do poszukiwań geologicznych w rejonie złóż miedzi porfirytowej w khatun abad, w północno-zachodniej części iranu. Archives of Mining Sciences, 58 (1), 37-54.
[14] Khorasanipour, M.,Tangestani, M.Naseh, R. (2012). Application of multivariate statistical methods to indicate the origin and geochemical behavior of potentially hazardous elements in sediment around the Sarcheshmeh copper mine, SE Iran. Environmental Earth Sciences, 66 (2), 589-605.
[15] Idris, A. M. (2008). Combining multivariate analysis and geochemical approaches for assessing heavy metal level in sediments from Sudanese harbors along the Red Sea coast. Microchemical Journal, 90 (2), 159-163.
[16] Huang, L.-M.,Deng, C.-B.,Huang, N.Huang, X.-J. (2013). Multivariate statistical approach to identify heavy metal sources in agricultural soil around an abandoned Pb–Zn mine in Guangxi Zhuang Autonomous Region, China. Environmental Earth Sciences, 68 (5), 1331-1348.
[17] Parizi, H. S.Samani, N. (2013). Geochemical evolution and quality assessment of water resources in the Sarcheshmeh copper mine area (Iran) using multivariate statistical techniques. Environmental Earth Sciences, 69 (5), 1699-1718.
[18] Singh, C. K.,Shashtri, S.Mukherjee, S. (2011). Integrating multivariate statistical analysis with GIS for geochemical assessment of groundwater quality in Shiwaliks of Punjab, India. Environmental Earth Sciences, 62 (7), 1387-1405.
[19] Morrison, J. M.,Goldhaber, M. B.,Ellefsen, K. J.Mills, C. T. (2011). Cluster analysis of a regional-scale soil geochemical dataset in northern California. Applied Geochemistry, 26S105-S107.
[20] Sfidari, E.,Kadkhodaie-Ilkhchi, A.Najjari, S. (2012). Comparison of intelligent and statistical clustering approaches to predicting total organic carbon using intelligent systems. Journal of Petroleum Science and Engineering, 86190-205.
[21] Beane, R. E.Bodnar, R. J. (1995). hydrothermal fluids and alteration in porphyry copper deposits. Arizona Geological Society Digest, 2083-93.
[22] Berger, B. R. (2008).Preliminary model of porphyry copper deposits.US Geological Survey.
[23] Reimann, C.,Filzmoser, P.Garrett, R. G. (2002). Factor analysis applied to regional geochemical data: problems and possibilities. Applied Geochemistry, 17 (3), 185-206.
[24] Hassanipak, A. A.Sharafodin, M. (2011). Exploratory data analysis. Tehran University Press, Third edition. (In Persian)
[25] Rencher, A. C.Christensen, W. F. (2012).Methods of multivariate analysis.John Wiley & Sons.
[26] Chen, Z.Shixiong, X. ‘K-means Clustering Algorithm with Improved Initial Center’, in Editor (Ed.)^(Eds.): ‘Book K-means Clustering Algorithm with Improved Initial Center’ (2009, edn.), pp. 790-792
[27] Meshkani, S. A.,Mehrabi, B.,Yaghubpur, A.Alghalandis, Y. F. (2011). The application of geochemical pattern recognition to regional prospecting: A case study of the Sanandaj–Sirjan metallogenic zone, Iran. Journal of Geochemical Exploration, 108 (3), 183-195.
[28] Templ, M.,Filzmoser, P.Reimann, C. (2008). Cluster analysis applied to regional geochemical data: Problems and possibilities. Applied Geochemistry, 23 (8), 2198-2213.