A comparison of unsupervised neural networks and k-means clustering in the analysis of multi-element stream sediment data

Geochemistry: Exploration, Environment, Analysis

Volumn 1, Issue 2, 2001, Pages 119-134

  Clare, A P ^a   Cohen, D R ^b  

^a Neural Mining Solutions   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Anomaly; Clustering; Exploration geochemistry; Mural network; New England

Indexed keywords

CATCHMENTS; CONFORMAL MAPPING; DATA STREAMS; FELDSPAR; GEOCHEMISTRY; LITHOLOGY; MINERALOGY; MULTIVARIANT ANALYSIS; POTASSIUM ALLOYS; RUNOFF; SELF ORGANIZING MAPS; TERNARY ALLOYS; TOPOGRAPHY;

ANOMALY; ANOMALY IDENTIFICATION; CLUSTERING; KOHONEN SELF-ORGANIZING MAPS; MULTIVARIATE OUTLIERS; NEW ENGLAND; UNSUPERVISED NEURAL NETWORKS; VARIABLE DISTRIBUTION;

K-MEANS CLUSTERING;

EID: 0039740050     PISSN: 14677873     EISSN: None     Source Type: Journal    
DOI: 10.1144/geochem.1.2.119     Document Type: Article

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