IJSEA Volume 7 Issue 4

Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran

Aref Shirazi, Ardeshir Hezarkhani , Adel Shirazy,
10.7753/IJSEA0704.1001
keywords : FCM; SOM; K-Means; Classical statistics; Anomaly separation; Exploration geochemistry; Copper

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The polymetal mining area is located 30 kilometers northwest of Birjand, South Khorasan Province of Iran. Considering the importance of recognizing the geochemical limit value for post-analysis studies, the limit value (= non-normative visualization) in the data of the stream was identified and described using the classic and modern statistical method. Sampling method in this area was lithogeochemical samples. Simple statistical methods, K-Means, K-Medoids, Fuzzy C-Mean (FCM), Self-Organized Map (SOM), have been used in this study. Anomaly maps are depicted in each method and separated from the background. Each method showed different anomalies, but the K-Mean and K-Medoids methods had similar responses.
@artical{a742018ijsea07041001,
Title = "Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "7",
Issue ="4",
Pages ="39 - 44",
Year = "2018",
Authors ="Aref Shirazi, Ardeshir Hezarkhani , Adel Shirazy, "}