Potential support vector machines for phytoplankton fluorescence spectra classification: comparison with self-organizing maps.
Tipus de documentArticle
Data publicació2010-04-26
EditorSARTI (Technological Development Centre of Remote Acquisition and Data processing Systems)
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
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.
CitacióAymerich, Ismael F. [et al.]. Potential support vector machines for phytoplankton fluorescence spectra classification: comparison with self-organizing maps.. "Instrumentation Viewpoint", 26 Abril 2010, núm. 8, p. 81.
ISSN1886-4864
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Potential suppo ... spectra classification.pdf | 2,699Mb | Visualitza/Obre |