Dendrogram from the 2 top-performing cluster algorithms using agglomerative hierarchical methods, Euclidean distance, Ward’s minimum variance linkage criterion, unscaled data, and all 5 variables (minICI, maxICI, ICIr, ICIir, and slope) or 2 variables (minICI and ICIir) from a sample of 18 feeding click trains (black font color) and 19 social buzzes (yellow font color) from Bristol Bay beluga tagged with DTAG v3.

Dendrogram from the 2 top-performing cluster algorithms using agglomerative hierarchical methods, Euclidean distance, Ward’s minimum variance linkage criterion, unscaled data, and all 5 variables (minICI, maxICI, ICIr, ICIir, and slope) or 2 variables (minICI and ICIir) from a sample of 18 feeding c...

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Bibliographic Details
Main Authors: Manuel Castellote (4572610), Aran Mooney (11772954), Russel Andrews (7466561), Stacy Deruiter (11772957), Wu-Jung Lee (4688698), Megan Ferguson (503895), Paul Wade (3271386)
Format: Still Image
Language:unknown
Published: 2021
Subjects:
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Online Access:https://doi.org/10.1371/journal.pone.0260485.g007
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Summary:Dendrogram from the 2 top-performing cluster algorithms using agglomerative hierarchical methods, Euclidean distance, Ward’s minimum variance linkage criterion, unscaled data, and all 5 variables (minICI, maxICI, ICIr, ICIir, and slope) or 2 variables (minICI and ICIir) from a sample of 18 feeding click trains (black font color) and 19 social buzzes (yellow font color) from Bristol Bay beluga tagged with DTAG v3.