Multiple data clustering algorithms applied in search of patterns of clay minerals in soils close to an abandoned manganese oxide mine
This paper proposes a multi-level approach to data clustering and provides a novel approach to characterisation of clay soils by, effectively, looking at the same clay sample from different angles. It is shown that using this approach can help avoid detection of spurious clusters or skipping vital n...
Gespeichert in:
Veröffentlicht in: | Applied clay science 2009-09, Vol.46 (1), p.1-6 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | This paper proposes a multi-level approach to data clustering and provides a novel approach to characterisation of clay soils by, effectively, looking at the same clay sample from different angles. It is shown that using this approach can help avoid detection of spurious clusters or skipping vital natural grouping in data. Muscovite, illite and kaolinite were identified by X-ray diffraction (XRD) in |
---|---|
ISSN: | 0169-1317 1872-9053 |
DOI: | 10.1016/j.clay.2009.06.018 |