Unsupervised, multivariate, clustering algorithm yielding a meaningful binary clustering taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of the tracks based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator.
| Version: |
1.9.3 |
| Depends: |
move |
| Imports: |
sp, methods, RColorBrewer, mnormt, maptools |
| Suggests: |
rgl, knitr |
| Published: |
2015-07-28 |
| Author: |
Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus |
| Maintainer: |
Joan Garriga <jgarriga at ceab.csic.es> |
| License: |
GPL-3 | file LICENSE |
| URL: |
'Expectation-Maximization Binary Clustering for Behavioural
Annotation', (submitted to PLOS ONE) |
| NeedsCompilation: |
no |
| CRAN checks: |
EMbC results |