
The results reveal that there is no suitable diagram to distinguish between mineralization and barren granites. One-hundred binary graphs and 300 ternary graphs with the highest CH index values were selected, from which the graphs were picked out. This results in 4095 binary diagrams and 12,485 ternary diagrams, ranked according to their success in classifying the training data. Hence, to further elucidate the distinctive diagnostic signatures of zircon signatures regarding metallogenic fertility and the preference for metallogenic types of granites, this paper exhaustively explores all possible bivariate and ternary discrimination diagrams using a set of 13 rare-earth elements with published zircon data from Yanshanian, South China. Moreover, with the development of in-situ zircon analysis technology, a significant amount of data on zircon composition has become available in recent years. Zircon, in granite, has great potential in the study of metallogenic specificity.
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Yanshanian magmatism develops well and has obvious metallogenic specificity in the Qinzhou–Hangzhou bays of South China.
