EMbC (2.0.0)

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Expectation-Maximization Binary Clustering.

<doi:10.1371/journal.pone.0151984>
http://cran.r-project.org/web/packages/EMbC

Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis 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").

Maintainer: Joan Garriga
Author(s): Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus

License: GPL-3 | file LICENSE

Uses: maptools, mnormt, RColorBrewer, Rcpp, sp, rgl, knitr, move

Released 7 months ago.


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