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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").

Versions across snapshots

VersionRepositoryFileSize
2.0.4 rolling linux/jammy R-4.5 EMbC_2.0.4.tar.gz 913.9 KiB
2.0.4 rolling linux/noble R-4.5 EMbC_2.0.4.tar.gz 915.3 KiB
2.0.4 rolling source/ R- EMbC_2.0.4.tar.gz 947.8 KiB
2.0.4 latest linux/jammy R-4.5 EMbC_2.0.4.tar.gz 913.9 KiB
2.0.4 latest linux/noble R-4.5 EMbC_2.0.4.tar.gz 915.3 KiB
2.0.4 latest source/ R- EMbC_2.0.4.tar.gz 947.8 KiB
2.0.4 2026-04-26 source/ R- EMbC_2.0.4.tar.gz 947.8 KiB
2.0.4 2026-04-23 source/ R- EMbC_2.0.4.tar.gz 947.8 KiB
2.0.4 2026-04-09 windows/windows R-4.5 EMbC_2.0.4.zip 1.2 MiB
2.0.4 2025-04-20 source/ R- EMbC_2.0.4.tar.gz 947.8 KiB

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