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.

dTBM: Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models

Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model. See reference Jiaxin Hu and Miaoyan Wang (2023) <doi:10.1109/TIT.2023.3239521>.

Version: 3.0
Depends: R (≥ 3.5.0)
Imports: WeightedCluster, EnvStats, methods
Published: 2023-06-18
DOI: 10.32614/CRAN.package.dTBM
Author: Jiaxin Hu [aut, cre, cph], Miaoyan Wang [aut, cph]
Maintainer: Jiaxin Hu <jhu267 at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: dTBM results

Documentation:

Reference manual: dTBM.pdf

Downloads:

Package source: dTBM_3.0.tar.gz
Windows binaries: r-devel: dTBM_3.0.zip, r-release: dTBM_3.0.zip, r-oldrel: dTBM_3.0.zip
macOS binaries: r-release (arm64): dTBM_3.0.tgz, r-oldrel (arm64): dTBM_3.0.tgz, r-release (x86_64): dTBM_3.0.tgz, r-oldrel (x86_64): dTBM_3.0.tgz
Old sources: dTBM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dTBM 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.