Application of cluster analysis to geochemical compositional data for identifying ore-related geochemical anomalies

Cluster analysis is a well-known technique that is used to analyze various types of data. In this study, cluster analysis is applied to geochemical data that describe 1444 stream sediment samples collected in northwestern Xinjiang with a sample spacing of approximately 2 km. Three algorithms (the hi...

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Veröffentlicht in:	Frontiers of earth science 2018-09, Vol.12 (3), p.491-505
Hauptverfasser:	ZHOU, Shuguang, ZHOU, Kefa, WANG, Jinlin, YANG, Genfang, WANG, Shanshan
Format:	Artikel
Sprache:	eng
Schlagworte:	Additives Algorithms Anomalies Cluster analysis Clustering Clusters compositional data Data Data processing Earth and Environmental Science Earth Sciences Genetic transformation geochemical anomaly Geochemistry Isometric Mathematical models Methods mineral exploration Mineralization Research Article Sediment samplers Sediment samples Standardization
Online-Zugang:	Volltext
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