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").
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.4 |
2026-04-09 windows/windows R-4.5 | EMbC_2.0.4.zip |
1.2 MiB |