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Self-organizing maps and Sammon’s mapping in environmental informatics and bioinformatics
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2004
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The aim of this study was to evaluate the usability of self-organizing maps (SOM) and Sammon’s mapping in analysing data originating from processes of environmental informatics and bioinformatics. The methods used are shortly introduced. The results show that the combination of SOM and Sammon’s mapping has great potential in data exploration, and can be used to reveal important features of the measurement techniques used, reveal new information about phenomena studied earlier, speed up research work at laboratory level, act as a hypothesis generator for directing traditional research, and supply clear and intuitive visualization of the environmental phenomenon studied.