Getting insight into a forest of classification trees, by calculating similarities between the trees, and subsequently clustering them. Each cluster is represented by it's most central cluster member. Sies, A & Van Mechelen, I. (paper submitted for publication).
Version: | 1.0.0 |
Imports: | MASS, partykit, rpart, RColorBrewer, grDevices, gridExtra, ggplot2, cluster, parallel, igraph, reshape2, qgraph, stats, graphics |
Published: | 2018-04-20 |
Author: | Aniek Sies [aut, cre], Iven Van Mechelen [ths] |
Maintainer: | Aniek Sies <aniek.sies at kuleuven.be> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | C443 results |
Reference manual: | C443.pdf |
Package source: | C443_1.0.0.tar.gz |
Windows binaries: | r-devel: C443_1.0.0.zip, r-release: C443_1.0.0.zip, r-oldrel: C443_1.0.0.zip |
OS X binaries: | r-release: C443_1.0.0.tgz, r-oldrel: C443_1.0.0.tgz |
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