kml3d (2.1.2)
K-means for joint Longitudinal data.
http:www.r-project.org
http://cran.r-project.org/web/packages/kml3d
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.
Maintainer:
Christophe Genolini
Author(s): Christophe Genolini [cre, aut], Bruno Falissard [ctb], Jean-Baptiste Pingault [ctb]
License: GPL (>= 2)
Released 6 months ago.
7 previous versions
- kml3d_2.1.1. Released 6 months ago.
- kml3d_2.1. Released 9 months ago.
- kml3d_2.0. Released about 1 year ago.
- kml3d_0.7. Released over 1 year ago.
- kml3d_0.6. Released over 1 year ago.
- kml3d_0.5. Released almost 2 years ago.
- kml3d_0.1. Released about 3 years ago.
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Visit kml3d on R Graphical Manual.
