Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets

Water Research

Volumn 41, Issue 19, 2007, Pages 4566-4578

  Astel, A ^a   Tsakovski, S ^b   Barbieri, P ^c   Simeonov, V ^b  

^a POMERANIAN MEDICAL UNIVERSITY   (Poland)

^b UNIVERSITY OF SOFIA   (Bulgaria)

^c UNIVERSITY OF TRIESTE   (Italy)

Author keywords

Classification; Cluster analysis; Environmetrics; Monitoring; Principal components analysis; River; Self organizing maps; Water quality

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; SECURITY OF DATA; SELF ORGANIZING MAPS;

CHEMOMETRIC APPROACH; ENVIRONMETRICS; TEMPORAL CHANGES;

WATER QUALITY;

RIVER WATER;

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; SECURITY OF DATA; SELF ORGANIZING MAPS; WATER QUALITY;

CLUSTER ANALYSIS; COMPARATIVE STUDY; DATA SET; MAP; PRINCIPAL COMPONENT ANALYSIS; RIVER WATER; WATER MANAGEMENT; WATER QUALITY;

ARTICLE; CLUSTER ANALYSIS; ENVIRONMENTAL MONITORING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; WATER ANALYSIS; WATER QUALITY;

EID: 35348971404     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.watres.2007.06.030     Document Type: Article

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