Using comprehensive machine‐learning models to classify complex morphological characters-Reference-Cited by-同舟云学术

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Using comprehensive machine‐learning models to classify complex morphological characters

Published:2021-06-27 Issue:15 Volume:11 Page:10421-10431
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecology and Evolution

Author:

Teng Dequn¹,Li Fengyuan¹,Zhang Wei¹²^ORCID

Affiliation:

1. State Key Laboratory of Protein and Plant Gene Research School of Life Sciences Peking University Beijing China

2. Peking‐Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary StudiesPeking University Beijing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7845

Reference31 articles.

1. Assessing the potential information content of multicomponent visual signals: a machine learning approach

2. An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters

3. Biometrics, biomathematics and the morphometric synthesis

4. Correlation between characters as related to developmental pattern in Drosophila

5. Image Processing Method for Automatic Discrimination of Hoverfly Species

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