kml3d (2.4.2)

0 users

K-Means for Joint Longitudinal Data.

http:www.r-project.org
http://cran.r-project.org/web/packages/kml3d

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)

Uses: clv, misc3d, rgl

Released over 2 years ago.


12 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of kml3d yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for kml3d on google, google scholar, r-help, r-devel.

Visit kml3d on R Graphical Manual.