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Algorithms 2009, 2(3), 1232-1247; doi:10.3390/a2031232

Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian-Kernel-Based Networks

Laboratori d’Aplicacions Bioacústiques, Universitat Politècnica de Catalunya, Rambla Exposició s/n, 08800 Vilanova i la Geltrú, Spain
ETIS, UMR 8051 (CNRS, ENSEA, UCP), Avenue du Ponceau 6, BP 44, F-95014 Cergy-Pontoise Cedex, France
Authors to whom correspondence should be addressed.
Received: 9 July 2009 / Revised: 31 August 2009 / Accepted: 15 September 2009 / Published: 22 September 2009
(This article belongs to the Special Issue Algorithms for Sound Localization and Sound Classification)
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With the aim of classifying sperm whales, this report compares two methods that can use Gaussian functions, a radial basis function network, and support vector machines which were trained with two different approaches known as C-SVM and ν-SVM. The methods were tested on data recordings from seven different male sperm whales, six containing single click trains and the seventh containing a complete dive. Both types of classifiers could distinguish between the clicks of the seven different whales, but the SVM seemed to have better generalisation towards unknown data, at the cost of needing more information and slower performance.
Keywords: classification; sperm whale; radial basis function; support vector machine classification; sperm whale; radial basis function; support vector machine

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Van der Schaar, M.; Delory, E.; André, M. Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian-Kernel-Based Networks. Algorithms 2009, 2, 1232-1247.

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