The Janja region is located 30 kilometres NW of Sefidabeh city in Sistan and Baluchistan province, Iran. Considering the evidence of gold mineralization, it is necessary to identify the promising mineral areas in this region. Clustering is an important method in data mining science, and it is used to analyse and examine a significant amount of data with various characteristics. The purpose of this research is to investigate the ability of clustering methods to determine gold anomaly areas in the studied area and to compare the performances of each method. Hence, the K-Means and K-Medoids clustering algorithms have been used to investigate the behaviour of gold and copper elements towards each other. For this purpose, first, the number of clusters was changed from k = 3 to k = 11 and then the optimal number of clusters was obtained using the Davies–Bouldin, Silhouette and Calinski–Harabasz criteria. According to the results obtained, it can be said that both methods for estimating the gold grade are suitable and effective methods due to the high correlation coefficient. Also, the widely used K-Nearest Neighbour (KNN) method was used under the grade values of gold, silver, copper, lead and zinc in order to simulate and determine promising areas of gold mineralization. The results show that the KNN method has been effective for finding gold anomalies with proper performance.
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Research Article|
December 13, 2024
Comparison of clustering methods in determining gold mineralization anomalies in the Janja area, Iran
Mohammad Ebdali;
Mohammad Ebdali
1
Department of Mining Engineering
, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 1591634311, Iran
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Ardeshir Hezarkhani
Ardeshir Hezarkhani
*
1
Department of Mining Engineering
, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 1591634311, Iran
*
Correspondence: [email protected]
Search for other works by this author on:
Mohammad Ebdali
1
Department of Mining Engineering
, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 1591634311, Iran
Ardeshir Hezarkhani
*
1
Department of Mining Engineering
, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 1591634311, Iran
*
Correspondence: [email protected]
Publisher: Geological Society of London
Received:
05 Jun 2024
Revision Received:
10 Sep 2024
Accepted:
24 Sep 2024
First Online:
11 Oct 2024
Online ISSN: 2041-4943
Print ISSN: 1467-7873
© 2024 The Author(s). Published by The Geological Society of London for GSL and AAG. All rights, including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved. For permissions: https://www.lyellcollection.org/publishing-hub/permissions-policy. Publishing disclaimer: https://www.lyellcollection.org/publishing-hub/publishing-ethics
© 2024 The Author(s)
Geochemistry: Exploration, Environment, Analysis (2024) 24 (4): geochem2024-029.
Article history
Received:
05 Jun 2024
Revision Received:
10 Sep 2024
Accepted:
24 Sep 2024
First Online:
11 Oct 2024
Citation
Mohammad Ebdali, Ardeshir Hezarkhani; Comparison of clustering methods in determining gold mineralization anomalies in the Janja area, Iran. Geochemistry: Exploration, Environment, Analysis 2024;; 24 (4): geochem2024–029. doi: https://doi.org/10.1144/geochem2024-029
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