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

Authors

  • Ismael F. Aymerich
  • Jaume Piera Fernández
  • Johannes Mohr
  • Aureli Soria-Frisch
  • Klaus Obermayer

DOI:

https://doi.org/10.5821/iwp.2009.8.15746

Abstract

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.

Issue

No. 8 (2009)

Section

Articles

License

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