Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution
<|reference_start|>Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution: Assessing the biotype of cattle through human visual inspection is a very common and important practice in precision cattle breeding. This paper presents the results of a correlation analysis between scores produced by humans for Nelore cattle and a variety of measurements that can be derived from images or other instruments. It also presents a study using the k-means algorithm to generate new ways of clustering a batch of cattle using the measurements that most correlate with the animal's body weight and visual scores.<|reference_end|>
@article{bezerra2024exploring,
    title={Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution},
    author={Alexandre de Oliveira Bezerra, Rodrigo Goncalves Mateus, Vanessa Ap.
  de Moraes Weber, Fabricio de Lima Weber, Yasmin Alves de Arruda, Rodrigo da
  Costa Gomes, Gabriel Toshio Hirokawa Higa, Hemerson Pistori},
    journal={arXiv preprint arXiv:2403.07137},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.07137},
    primaryClass={eess.IV cs.CV cs.LG}
}