Investigation of Cu, Mo, Pb, and Zn geochemical behavior and geological interpretations for Parkam porphyry copper system, Kerman, Iran
A well-known algorithm of clustering is K-means by which the data are divided into K classes based upon a distance criterion. In this study, we apply the K-means method for classifying data derived from exploration boreholes in the Parkam deposit. The optimum K has been calculated and then the data...
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| Format: | Journal Article |
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Springer
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/53773 |