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Benthic macroinvertebrate communities serve as an efficient indicator group for assessing biological water quality. Communities, however, are difficult to analyze since the data consist of diverse taxa in a non-linear fashion. We implemented the self-organizing map (SOM) to classification of benthic macroinvertebrate communities collected across different levels of disturbances in streams in a large-scale...
. This research used a Self-Organizing Map (SOM) to patternize long-term fisheries data of 30 species from South Korea. A spectrum of catch amounts from fish assemblage data over 48 years was successfully clustered and visualized on a two-dimensional map. Temporal variation in fish data was explored using a SOM. Five yearly clusters identified different time periods from 1954–1961, 1962–1973, 1974–1982,...
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