A performance study of local outlier detection methods for mineral exploration with geochemical compositional data

Patricia Puchhammer, Charmee Kalubowila, Lorena Braus, Solveig Pospiech, Pertti Sarala, Peter Filzmoser

 It is essential that geochemical data are treated as compositional data, and the requirements for their treatment depend on the specific local outlier detection method. We demonstrate how prominent local outlier detection methods can be used for mineral exploration with geochemical data that vary in scale, in the sampling density, and in data quality. 

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