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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").

Type Size Name Uploaded Downloads Labels
conda 1013.2 kB | win-64/r-embc-2.0.2-r36h796a38f_0.tar.bz2  5 years and 4 months ago 0 main
conda 992.4 kB | osx-64/r-embc-2.0.2-r36h466af19_0.tar.bz2  5 years and 4 months ago 0 main
conda 995.8 kB | linux-64/r-embc-2.0.2-r36h29659fb_0.tar.bz2  5 years and 4 months ago 0 main

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