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").
- Version2.0.4
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- <doi:10.1371/journal.pone.0151984>
- Last release10/03/2023
Documentation
Team
Joan Garriga
John R.B. Palmer
Aitana Oltra
Frederic Bartumeus
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- Imports5 packages
- Suggests4 packages
- Linking To2 packages
- Reverse Suggests1 package