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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").

Functions (27)

EMbC

Expectation-Maximization Binary Clustering

v2.0.3
GPL-3 | file LICENSE
Authors
Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Initial release
2019-12-16

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