Skip to Content


K-means for joint Longitudinal data
Christophe Genolini [cre, aut], Bruno Falissard [ctb], Jean-Baptiste Pingault [ctb]
GPL (>= 2)
KmL3D is an implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like KmL, it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.
Package Version Released
kml3d 2.1.2 2 years 15 weeks ago
kml3d 2.1.1 2 years 15 weeks ago
kml3d 2.1 2 years 28 weeks ago
kml3d 2.0 2 years 48 weeks ago
kml3d 0.7 3 years 12 weeks ago
kml3d 0.6 3 years 14 weeks ago
kml3d 0.5 3 years 29 weeks ago
kml3d 0.1 4 years 43 weeks ago
Your rating: None
Your rating: None