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").

Expectation-Maximization Binary Clustering

package-ubuntu-20.04-r-4.0.5#cran#EMbC-2.0.3

<p>Unless otherwise specified, a <code>binClstPath</code> instance refers to a <code>binClstPath</code> object itself, as well as its child class <code>binClstMove</code>. The latter inherits all slots and functionality defined for the former.
</p>

package-ubuntu-20.04-r-4.0.5#cran#EMbC-2.0.3#docs#binClstPath_Instance

binClstPath_Instance

Description

EMbC

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