[1]. Mostafaei K, Ramazi K (2018) 3D model construction of induced polarization and resistivity data with quantifying uncertainties using geostatistical methods and drilling (Case study: Madan Bozorg, Iran). Journal of Mining & Environment 4: 857-872.
[2]. Mostafaei K, Ramazi H (2019) Mineral resource estimation using a combination of drilling and IP-Rs data using statistical and cokriging methods. Bulletin of the Mineral Research and Exploration 160:177–195.
[3]. Sinclair, W (2007) Porphyry deposits. Mineral deposits of Canada: A synthesis of major deposit types, district metallogeny, the evolution of geological provinces, and exploration methods. Geological Association of Canada, Mineral Deposits Division 5: 223-243.
[4]. Takaew P, Cecilia Xia J, Doucet LS (2024) Machine learning and tectonic setting determination: Bridging the gap between Earth scientists and data scientists. Geoscience Frontiers 15:101726.
[5]. Farhadi, S Tatullo, MB Konari, P Afzal (2024) Evaluating StackingC and ensemble models for enhanced lithological classification in geological mapping. Journal of Geochemical Exploration 260, 107441
[6]. Farhadi, P Afzal, M Boveiri Konari, L Daneshvar Saein, B Sadeghi (2022) Combination of machine learning algorithms with a concentration-area fractal method for soil geochemical anomaly detection in sediment-hosted Irankuh Pb-Zn deposit, Central Iran. Minerals 12 (6), 689
[7]. Madhulatha TS (2012) AN OVERVIEW ON CLUSTERING METHODS. IOSR Journal of Engineering 02:719–725.
[8]. Templ M, Filzmoser P, Reimann C (2008) Cluster analysis applied to regional geochemical data: Problems and possibilities. Applied Geochemistry 23:2198–2213.
[9]. Zhang Z, Lin S, Ye Y,Xu z, Zhao H, Zhao Y and Sun J (2022) A Hybrid MCDM Model for Evaluating the Market-Oriented Business Regulatory Risk of Power Grid Enterprises Based on the Bayesian Best-Worst Method and MARCOS Approach. Energies (Basel) 15:2978.
[10]. Bigdeli A, Maghsoudi A, Ghezelbash R (2022) Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran. Journal of Geochemical Exploration 233:106923.
[11]. Žalik KR (2008) An efficient k′-means clustering algorithm. Pattern Recognition Letters | 29:1385–1391.
[12]. Sarparandeh M, Hezarkhani A (2017) Application of unsupervised pattern recognition approaches for exploration of rare earth elements in Se-Chahun iron ore, central Iran. Compu Computers & Geosciences ters & Geosciences 6:537–546.
[13]. Sarparandeh M, Hezarkhani A (2016) Application of Self-Organizing Map for Exploration of REEs’ Deposition. Open Journal of Geology 06:571–582.
[14]. Ghezelbash R, Maghsoudi A, Carranza EJM (2020) Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm. Computers & Geosciences 134:104335.
[15]. Fu Q, Li Y, Albathan M (2023) A supervised method to enhance distance-based neural network clustering performance by discovering perfect representative neurons. Granular Computing 8:1051–1065.
[16]. Boomeri M, Moradi R, Stein H, Bagheri S (2019) Geology, Re-Os age, S and O isotopic composition of the Lar porphyry Cu-Mo deposit, southeast Iran. Ore Geology Reviews 104:477–494.
[17]. Nakisa M (2002) Results of Exploration Studies and Reserves Estimation of the Lar Cu Ore Deposit-Zahedan. Tehran, Iran: Ministry of Industries and Mines, National Iranian Copper Industries Co.
[18]. MORADI R, BOOMERI M, BAGHERI S, NAKASHIMA K (2016) Mineral chemistry of igneous rocks in the Lar Cu-Mo prospect, southeastern part of Iran: implications for P, T, and ƒO2. turkish journal of earth sciences 25:418–433.
[19]. Chen K, Abtahi F, Carrero J-J, Fernandez- Llatas C and Seoane F (2023) Process mining and data mining applications in the domain of chronic diseases: A systematic review. Artificial Intelligence in Medicine 144:102645.
[20]. Shu X, Ye Y (2023) Knowledge Discovery: Methods from data mining and machine learning. Soc Sci Res 110:102817.
[21]. Chaudhry M, Shafi I, Mahnoor M, Ramirez D. Bautista E and Ashraf I (2023) A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering Algorithms: A Data Mining Perspective. Symmetry (Basel) 15:1679.
[22]. Abdulnassar AA, Nair LR (2023) Performance analysis of Kmeans with modified initial centroid selection algorithms and developed Kmeans 9+ model. Measurement: Sensors 25:100666.
[23]. Kohonen T (1990) The self-organizing map. Proceedings of the IEEE 78:1464–1480.
[24]. Jensen CA, Reed RD, Marks RJ, El-Sharkawi MA, Jung JB, Miyamoto RT, Anderson G and Eggen C, (1999) Inversion of feedforward neural networks: algorithms and applications. Proceedings of the IEEE 87:1536–1549
[25]. Li L, Wang Y (2014) What drives the aerosol distribution in Guangdong - the most developed province in Southern China? Scientific Reports 4:5972.
[26]. Vesanto J (1999) SOM-based data visualization methods. Intelligent Data Analysis 3:111–126.