Skip to Content

kml3d

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.
Versions
Package Version Released
kml3d 2.1.2 3 years 23 weeks ago
kml3d 2.1.1 3 years 23 weeks ago
kml3d 2.1 3 years 36 weeks ago
kml3d 2.0 4 years 5 weeks ago
kml3d 0.7 4 years 20 weeks ago
kml3d 0.6 4 years 22 weeks ago
kml3d 0.5 4 years 38 weeks ago
kml3d 0.1 5 years 52 weeks ago
0
Your rating: None
0
Your rating: None