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

Report Date:

2015-09-30

Pagination or Media Count:

4.0

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