The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <https://jmlr.org/papers/v18/16-342.html>.
| Version: | 1.0.4 |
| Depends: | methods |
| Imports: | Rcpp (≥ 0.12.16), RcppProgress (≥ 0.1), Rtsne (≥ 0.11.0) |
| LinkingTo: | Rcpp, RcppProgress |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-09-20 |
| DOI: | 10.32614/CRAN.package.HDclust |
| Author: | Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre] |
| Maintainer: | Jia Li <jiali at psu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | HDclust results |
| Reference manual: | HDclust.pdf |
| Vignettes: |
A quick tour of HDclust (source, R code) |
| Package source: | HDclust_1.0.4.tar.gz |
| Windows binaries: | r-devel: HDclust_1.0.4.zip, r-release: HDclust_1.0.4.zip, r-oldrel: HDclust_1.0.4.zip |
| macOS binaries: | r-release (arm64): HDclust_1.0.4.tgz, r-oldrel (arm64): HDclust_1.0.4.tgz, r-release (x86_64): HDclust_1.0.4.tgz, r-oldrel (x86_64): HDclust_1.0.4.tgz |
| Old sources: | HDclust archive |
| Reverse suggests: | OTclust |
Please use the canonical form https://CRAN.R-project.org/package=HDclust to link to this page.
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.