Accession Number : AD1014296


Title :   Unsupervised Learning (Clustering) of Odontocete Echolocation Clicks


Descriptive Note : Technical Report,01 Oct 2014,30 Sep 2015


Corporate Author : SAN DIEGO STATE UNIV CA SAN DIEGO


Personal Author(s) : Roch,Marie A ; Ackerman,Margareta ; Baumann-Pickering,Simone


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1014296.pdf


Report Date : 30 Sep 2015


Pagination or Media Count : 4


Abstract : 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.


Descriptors :   unsupervised machine learning , clustering , whales , probabilistic models , algorithms , monte carlo method , acoustic detection


Subject Categories : Biological Oceanography
      Cybernetics
      Acoustics


Distribution Statement : APPROVED FOR PUBLIC RELEASE