scholarly journals Data Visualization with Simultaneous Feature Selection

Author(s):  
Dharmesh M. Maniyar ◽  
Ian T. Nabney
2014 ◽  
Vol 15 (1) ◽  
pp. 4-22 ◽  
Author(s):  
Tome Silva ◽  
Nadege Richard ◽  
Jorge Dias ◽  
Pedro Rodrigues

Author(s):  
Hui Yu ◽  
Marcel Klaassen

Increasingly animal behaviour studies are enhanced through the use of accelerometry. To allow translation of raw accelerometer data to animal behaviours requires the development of classifiers. Here, we present the “rabc” package to assist researchers with the interactive development of such animal-behaviour classifiers based on datasets consisting out of accelerometer data with their corresponding animal behaviours. Using an accelerometer and a corresponding behavioural dataset collected on white stork (Ciconia ciconia), we illustrate the workflow of this package, including raw data visualization, feature calculation, feature selection, feature visualization, extreme gradient boost model training, validation, and, finally, a demonstration of the behaviour classification results.


Author(s):  
Lindsey M. Kitchell ◽  
Francisco J. Parada ◽  
Brandi L. Emerick ◽  
Tom A. Busey

Sign in / Sign up

Export Citation Format

Share Document