Using comprehensive machine‐learning models to classify complex morphological characters
Abstract Recognizing and classifying multiple morphological features, such as patterns, sizes, and textures, can provide a comprehensive understanding of their variability and phenotypic evolution. Yet, quantitatively measuring complex morphological characters remains challenging. We provide a machi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-08-01
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Series: | Ecology and Evolution |
Subjects: | |
Online Access: | https://doi.org/10.1002/ece3.7845 |