EMbC: Expectation-Maximization Binary Clustering
Version 2.0.0

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").

Package details

AuthorJoan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Date of publication2016-11-10 08:18:34
MaintainerJoan Garriga <jgarriga@ceab.csic.es>
LicenseGPL-3 | file LICENSE
URL <doi:10.1371/journal.pone.0151984>
Package repositoryView on CRAN
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EMbC documentation built on May 30, 2017, 8:06 a.m.