Introduction to robust clustering and tclust | Trimming and the spurious outliers model | Constraints on the cluster scatter matrices | Numerical output | Algorithms | Comparison with other robust clustering proposals | Selecting the number of groups and the trimming size | Graphical displays | Swiss Bank notes data | Conclusion
Package: tclust 2.2-0
tclust: Robust Trimmed Clustering
Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Authors:
tclust_2.2-0.tar.gz
tclust_2.2-0.zip(r-4.7)tclust_2.2-0.zip(r-4.6)tclust_2.2-0.zip(r-4.5)
tclust_2.2-0.tgz(r-4.6-x86_64)tclust_2.2-0.tgz(r-4.6-arm64)tclust_2.2-0.tgz(r-4.5-x86_64)tclust_2.2-0.tgz(r-4.5-arm64)
tclust_2.2-0.tar.gz(r-4.7-arm64)tclust_2.2-0.tar.gz(r-4.7-x86_64)tclust_2.2-0.tar.gz(r-4.6-arm64)tclust_2.2-0.tar.gz(r-4.6-x86_64)
tclust_2.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tclust/json (API)
| # Install 'tclust' in R: |
| install.packages('tclust', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/valentint/tclust/issues
Uses libs:
Datasets:
Last updated from:f16798f6f6. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 169 | ||
| linux-devel-x86_64 | OK | 172 | ||
| source / vignettes | OK | 249 | ||
| linux-release-arm64 | OK | 200 | ||
| linux-release-x86_64 | OK | 168 | ||
| macos-release-arm64 | OK | 118 | ||
| macos-release-x86_64 | OK | 323 | ||
| macos-oldrel-arm64 | OK | 129 | ||
| macos-oldrel-x86_64 | OK | 198 | ||
| windows-devel | OK | 169 | ||
| windows-release | OK | 151 | ||
| windows-oldrel | OK | 155 | ||
| wasm-release | OK | 142 |
Exports:ctlcurvesDiscrFactFowlkesMallowsIndexplot.ctlcurvesplot.DiscrFactplot.rlgplot.tclustplot.tkmeansprint.ctlcurvesprint.DiscrFactprint.tclustprint.tkmeansrandIndexrlgsimula.rlgsimula.tclustsummary.DiscrFacttclusttclustICtclustICsoltkmeans
Dependencies:codetoolsdoParallelforeachiteratorsMASSRcppRcppArmadillorlang
