Self-organising feature map (SOFM) algorithms applied to manganese mineralisation in soils close to an abandoned manganese oxide mine

EKOSSE, G I E and MWITONDI, Kassim (2009). Self-organising feature map (SOFM) algorithms applied to manganese mineralisation in soils close to an abandoned manganese oxide mine. Fresenius Environmental Bulletin, 18 (11A), 2234-2242.

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Abstract

This paper proposes a multi-level self-organising map (SOFM) approach in studying manganese minerals interdependence in soils close to an abandoned Mn oxides mine. Multiple SOFM algorithms for data clustering were applied on Mn minerals identified by X-Ray diffractometry contained in four hundred soil samples from the periphery of the abandoned mine. Emerging structures from the Mn minerals (bixbyite, cryptomelane, ramsdellite, pyrolusite and braunite) were analysed using SOFM and two of the minerals (cryptomelane and braunite) were found to be influential in cluster formation. The findings of the study demonstrate the suitability of data mining in characterising Mn minerals interdependence in soils close to the abandoned Mn oxides mine and highlight the underlying, issues of which applicants of the method need to be aware of.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Page Range:	2234-2242
Depositing User:	Hilary Ridgway
Date Deposited:	28 Oct 2011 12:16
Last Modified:	18 Mar 2021 10:00
URI:	https://shura.shu.ac.uk/id/eprint/2968

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