Using comprehensive machine‐learning models to classify complex morphological characters

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...

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Bibliographic Details
Main Authors: Dequn Teng, Fengyuan Li, Wei Zhang
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:Ecology and Evolution
Subjects:
classification
data augmentation
feature extraction
machine learning
morphological characters
SVMorph
Online Access:https://doi.org/10.1002/ece3.7845

Internet

https://doi.org/10.1002/ece3.7845

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