The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance/similarity measures and centroid computation. Further cluster methods include hard competitive learning, neural gas and QT clustering.
| Version: | 0.99-0 |
| Depends: | graphics, lattice, modeltools (≥ 0.2-15) |
| Imports: | methods, grid, stats, stats4 |
| Suggests: | ellipse, clue, cluster |
| Date: | 2008-05-09 |
| Author: | Friedrich Leisch |
| Maintainer: | Friedrich Leisch <Friedrich.Leisch at R-project.org> |
| License: | GPL-2 |
| In views: | Cluster |
| CRAN checks: | flexclust results |
Downloads:
| Package source: | flexclust_0.99-0.tar.gz |
| MacOS X binary: | flexclust_0.9-1.tgz |
| Windows binary: | flexclust_0.99-0.zip |
| Reference manual: | flexclust.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | flexclust archive |