The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data

The recent increase in data accuracy from high resolution accelerometers offers substantial potential for improved understanding and prediction of animal movements. However, current approaches used for analysing these multivariable datasets typically require existing knowledge of the behaviors of th...

Descripción completa

Detalles Bibliográficos
Autores principales: Chimienti, Marianna, Cornulier, Thomas, Owen, Ellie, Bolton, Mark, Davies, Ian M., Travis, Justin M.J., Scott, Beth E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4739568/
https://www.ncbi.nlm.nih.gov/pubmed/26865961
http://dx.doi.org/10.1002/ece3.1914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4739568/
https://www.ncbi.nlm.nih.gov/pubmed/26865961
http://dx.doi.org/10.1002/ece3.1914

Ejemplares similares