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").

Package details

AuthorJoan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
MaintainerJoan Garriga <[email protected]>
LicenseGPL-3 | file LICENSE
Version2.0.1
URL <doi:10.1371/journal.pone.0151984>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EMbC")

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EMbC documentation built on May 7, 2018, 5:04 p.m.