Potential support vector machines for phytoplankton fluorescence spectra classification: comparison with self-organizing maps

• Autores: Ismael F. Aymerich, Jaume Piera Fernández, Johannes Mohr, Aureli Soria-Frisch, Klaus Obermayer
• Localización: Instrumentation ViewPoint, ISSN-e 1886-4864, Nº. 8, 2009
• Idioma: inglés
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• Resumen

  • Evaluation of phytoplankton communities is an important task to characterize marine environments. Fluorescence spectroscopy is a powerful technique usually used for this goal. This study presents a comparison between two different techniques for fast phytoplankton discrimination: Self-Organizing Maps (SOM) and Potential Support Vector Machines (P-SVM), evaluating its capability to achieve phytoplankton classification from its fluorescence spectra.