KmL3D is an implementation of k-means specificaly design to deal with joint trajectories (longitudinal data on several variable-trajectories). It provide facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin) and propose a graphical interphace for chosing the 'best' number of clusters.
| Version: | 2.0 |
| Depends: | methods, clv, rgl, misc3d, longitudinalData, kml |
| Published: | 2012-03-28 |
| Author: | Christophe Genolini |
| Maintainer: | Christophe Genolini <genolini at u-paris10.fr> |
| License: | GPL (≥ 2) |
| URL: | http:www.r-project.org |
| In views: | Cluster |
| CRAN checks: | kml3d results |
| Package source: | kml3d_2.0.tar.gz |
| MacOS X binary: | kml3d_2.0.tgz |
| Windows binary: | kml3d_2.0.zip |
| Reference manual: | kml3d.pdf |
| Old sources: | kml3d archive |