Package: tensorsparse 3.0

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.

Authors:Miaoyan Wang, Yuchen Zeng

tensorsparse_3.0.tar.gz
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tensorsparse.pdf |tensorsparse.html
tensorsparse/json (API)
NEWS

# Install 'tensorsparse' in R:
install.packages('tensorsparse', repos = c('https://yzeng58.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 119 downloads 5 exports 0 dependencies

Last updated 4 years agofrom:34d0ad9eec. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:chooseClusteringSizechooseLambdagetOrder3TensorgetOrder4TensortbmClustering

Dependencies: