[1] Ghannadpour, S. S. and A. Hezarkhani (2012). “Lead Geochemical Behavior with respect to those of Zinc and Iron based on Clustering Method Applications in Parkam Porphyry Copper System, Shahr Babak, Kerman.” Journal of Researches in Earth Sciences 3(9): 64-77 (In Persian).
[2] Cheng, Q. (1999). Spatial and scaling modelling for geochemical anomaly separation. Journal of Geochemical Exploration, 65(3), 175-194.
[3] Ghannadpour, S. S., Hezarkhani, A., Maghsoudi, A., Farahbakhsh, E. (2015). Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran. Geosciences Journal, 19(3), 431-440.
[4] Sinclair, A. J. (1991). A Fundamental Approach to Threshold Estimation in Exploration Geochemistry, probability plots revisited. journal of Geochemical Exploration, 41(1-2), 1–22.
[5] Mehrgini, B. and H. Memarian (2010). “ Evaluation of Mahalanobis Distance method’s performance in separating oil facies, in one of hydrocarbon fields in Iran.” 14th Iranian geophysics conference, Iran’s geopolitical forum.
[6] Zhao, X., Li, Y., Zhao, Q. (2015). Mahalanobis distance based on fuzzy clustering algorithm for image segmentation. Digital Signal Processing, 43, 8-16.
[7] Long, B., Xian, W., Li, M., Wang, H. (2014). Improved diagnostics for the incipient faults in analog circuits using LSSVM on PSO algorithm with Mahalanobis distance. Neurocomputing, 133(10), 237-248.
[8] Patil, N., Das, D., Pecht, M. (2015). Anomaly detection for IGBTs using Mahalanobis distance.Microelectronics Reliability, 55(7), 1054-1059.
[9] Hulten, G., Spencer, L., Domingos, P. (2001, August). Mining time-changing data streams. KDD, Processing of the seventh ACM SIGKDD international conference on knowledge discovery and data mining.
[10] Ghannadpour, S. S., Hezarkhani, A. (2012). A developed software to calculate the additive constant number of average in three-variable normal logarithm. Global Journal of Computer sciences, 3(1), 1-6.
[11] Ghannadpour, S. S., Hezarkhani, A., Eshqi, H. (2012). Average and variance estimation programming in normal logarithmic distribution. Global Journal of Computer sciences, 2(1), 7-13.
[12] Ghannadpour, S. S., Hezarkhani, A., Sabetmobarhan, E. (2015). Some statistical analyses of Cu and Mo variates and geological interpretations for Parkam Porphyry Copper system, Kerman, Iran. Arabian Journal of Geosciences, 8(1), 345–355.
[13] Ghorbani, M (2002). “The Economic Geology of Iran.” Arian Earth Press, Tehran (In Persian).
[14] Ghannadpour, S. S. and A. Hezarkhani (2015). “Assessment of prospective areas for providing the geochemical anomaly maps of Cu and Mo in Parkam district, Kerman, Iran.” Journal of Researches in Earth Sciences 6(21), 40-50 (In Persian).
[15] Berberian, M., and King, G. C. (1981). Towards a Paleogeography and Tectonic Evolution of Iran. Canadian Journal of Earth Sciences, 18(2), 210–265.
[16] Saric, A., Diordjevic, M., Dimitrijevic, M. N. (1971). Geological map of Shahre-e-Babak, 1:100,000 Seri. Geological Survey of Iran, Tehran, Iran.
[17] Filzmoser, P., Garrett, R. G., Reimann, C. (2005). Multivariate outlier detection in exploration geochemistry. Computers & Geosciences, 31(5), 579–587.
[18] Hassani Pak, A. A. and M. Sharafaddin (2011). “Exploration data analysis.” The second edit, Tehran University Press (In Persian).
[19] Yang, Y., Liu, X. (1999, August). A re-examination of text categorization methods. In proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’99).
[20] Yang., Y. (1999). An evaluation of statistical approaches to text categorization. Journal of Information Retrieval, 1(1), 69-90.
[21] He, J., Tan, A., Tan, C. (2000, August). Comparative Study on Chinese Text Categorization Methods. On the PRICAI 2000 Workshop on Text and Web Mining, Melbourne.
[22] Verbiest, N., Cornelis, C., Jensen, R. (2012, June). Fuzzy rough Positive region based Nearest Neighbor Classification. WCCI 2012 IEEE World congress on Computational Intelligence.
[23] Tan, K. C., Yu, Q. (2006). A coevolutionary algorithm for rules discovery in data mining. International Journal of Systems Science, 37(12), 835-864.
[24] Chan, C., Lewis, B. (2002). A basic primer on data mining. Information Systems Management, 19(4), 56-60.