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...
Main Authors: | , , , , , , |
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Format: | Still Image |
Language: | unknown |
Published: |
2021
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Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pone.0260485.g007 |
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. |
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