Unsupervised Learning (Clustering) of Odontocete Echolocation Clicks
Technical Report,01 Oct 2014,30 Sep 2015
SAN DIEGO STATE UNIV CA SAN DIEGO
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The primary long-term goal is to develop methods for clustering of marine mammal echolocation clicks to learn about species assemblages where little or no prior knowledge exists about these species signal repertoire. Being able to monitor individual species can be effective, for understanding how certain species use a region and habitat or how naval operations may affect their behavior.
- Biological Oceanography