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

• Published in: Algorithms
• Main Authors: Michel André, Eric Delory, Mike van der Schaar
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2009
• Subjects: classification; sperm whale; radial basis function; support vector machine; Industrial engineering. Management engineering; T55.4-60.8; Electronic computers. Computer science; QA75.5-76.95; Physeter macrocephalus; Sperm whale
• Online Access: https://doi.org/10.3390/a2031232; https://doaj.org/article/71573b94bc594a609d7e60ef0ea93f80

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.