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.

tensorsparse: Multiway Clustering via Tensor Block Models

Implements the multiway sparse clustering approach of M. Wang and Y. Zeng, "Multiway clustering via tensor block models". Advances in Neural Information Processing System 32 (NeurIPS), 715-725, 2019.

Version: 3.0
Imports: parallel, stats
Suggests: cluster
Published: 2020-09-27
DOI: 10.32614/CRAN.package.tensorsparse
Author: Miaoyan Wang, Yuchen Zeng
Maintainer: Yuchen Zeng <yzeng58 at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tensorsparse results

Documentation:

Reference manual: tensorsparse.pdf

Downloads:

Package source: tensorsparse_3.0.tar.gz
Windows binaries: r-devel: tensorsparse_3.0.zip, r-release: tensorsparse_3.0.zip, r-oldrel: tensorsparse_3.0.zip
macOS binaries: r-release (arm64): tensorsparse_3.0.tgz, r-oldrel (arm64): tensorsparse_3.0.tgz, r-release (x86_64): tensorsparse_3.0.tgz, r-oldrel (x86_64): tensorsparse_3.0.tgz
Old sources: tensorsparse archive

Linking:

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