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Volumn 631, Issue 2, 2009, Pages 142-152
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Ecotoxicity and chemical sediment data classification by the use of self-organising maps
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Author keywords
Chemometrics; Ecotoxicity; Sediments; Self organising maps
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Indexed keywords
AROMATIC HYDROCARBONS;
DECISION MAKING;
HEAVY METALS;
HYDROCARBONS;
LAKE POLLUTION;
LAKES;
MAPS;
MULTIVARIANT ANALYSIS;
OPTICAL PROJECTORS;
ORGANIC POLLUTANTS;
PESTICIDES;
POLYCHLORINATED BIPHENYLS;
POLYCYCLIC AROMATIC HYDROCARBONS;
PRINTED CIRCUIT BOARDS;
PRINTED CIRCUITS;
SEDIMENTATION;
SEDIMENTOLOGY;
CHEMICAL COMPONENTS;
CHEMICAL POLLUTANTS;
CHEMICAL SEDIMENTS;
CHEMOMETRICS;
CHRONIC TOXICITIES;
DATA CLASSIFICATIONS;
DATA PROJECTIONS;
ECOTOXICITY;
LAKE SEDIMENTS;
MULTIVARIATE ANALYSES;
PCB CONGENERS;
SAMPLING SITES;
SEDIMENT QUALITIES;
SELF-ORGANISING MAPS;
SMALL DATA SETS;
VISUAL IMAGES;
TOXICITY;
HEAVY METAL;
PESTICIDE;
POLYCHLORINATED BIPHENYL;
POLYCYCLIC AROMATIC HYDROCARBON;
ANALYTICAL PARAMETERS;
ARTICLE;
AUDIOVISUAL EQUIPMENT;
ECOTOXICITY;
LAKE ECOSYSTEM;
LAKE SEDIMENT;
POLAND;
PRIORITY JOURNAL;
QUALITY CONTROL;
WATER POLLUTANT;
WATER STANDARD;
ECOTOXICOLOGY;
ENVIRONMENTAL MONITORING;
ENVIRONMENTAL POLLUTANTS;
GEOLOGIC SEDIMENTS;
NEURAL NETWORKS (COMPUTER);
TIME FACTORS;
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EID: 57249088964
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2008.10.053 Document Type: Article |
Times cited : (32)
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References (30)
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