EMbC: Expectation-Maximization Binary Clustering
Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").
| Version: | 2.0.4 |
| Imports: | Rcpp (≥ 0.11.0),sp, methods,RColorBrewer,mnormt,suntools |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | move,sf,rgl,knitr |
| Published: | 2023-10-03 |
| DOI: | 10.32614/CRAN.package.EMbC |
| Author: | Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus |
| Maintainer: | Joan Garriga <jgarriga at ceab.csic.es> |
| License: | GPL-3 | fileLICENSE |
| URL: | <doi:10.1371/journal.pone.0151984> |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | SpatioTemporal,Tracking |
| CRAN checks: | EMbC results |
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