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.

mirror server hosted at Truenetwork, Russian Federation.