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

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

1,* , 2
 and 1,*
1 Laboratori d’Aplicacions Bioacústiques, Universitat Politècnica de Catalunya, Rambla Exposició s/n, 08800 Vilanova i la Geltrú, Spain 2 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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Abstract

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 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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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