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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 977.5 kB | linux-64/r-embc-2.0.4-r43h884c59f_0.tar.bz2  1 year and 1 month ago 23 main
conda 1008.1 kB | linux-64/r-embc-2.0.3-r42h884c59f_0.tar.bz2  2 years and 7 months ago 57 main
conda 1013.2 kB | win-64/r-embc-2.0.2-r36h796a38f_0.tar.bz2  4 years and 11 months ago 72 main
conda 992.4 kB | osx-64/r-embc-2.0.2-r36h466af19_0.tar.bz2  4 years and 11 months ago 18 main
conda 995.8 kB | linux-64/r-embc-2.0.2-r36h29659fb_0.tar.bz2  4 years and 11 months ago 58 main

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