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An implementation of k-means specifically design to cluster longitudinal data. 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.
| Version: | 2.5.0 |
| Depends: | methods, clv, longitudinalData (≥ 2.4) |
| Published: | 2024-10-23 |
| DOI: | 10.32614/CRAN.package.kml |
| Author: | Christophe Genolini [cre, aut], Bruno Falissard [ctb], Patrice Kiener [ctb] |
| Maintainer: | Christophe Genolini <christophe.genolini at free.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | kml citation info |
| Materials: | NEWS |
| In views: | Cluster |
| CRAN checks: | kml results |
| Reference manual: | kml.pdf |
| Package source: | kml_2.5.0.tar.gz |
| Windows binaries: | r-devel: kml_2.5.0.zip, r-release: kml_2.5.0.zip, r-oldrel: kml_2.5.0.zip |
| macOS binaries: | r-release (arm64): kml_2.5.0.tgz, r-oldrel (arm64): kml_2.5.0.tgz, r-release (x86_64): kml_2.5.0.tgz, r-oldrel (x86_64): kml_2.5.0.tgz |
| Old sources: | kml archive |
| Reverse depends: | kml3d |
| Reverse suggests: | latrend |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.