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'))

On CRAN:

Conda:

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 196 downloads 5 exports 0 dependencies

Last updated 4 years agofrom:34d0ad9eec. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-win-x86_64OKMar 06 2025
R-4.5-mac-x86_64OKMar 06 2025
R-4.5-mac-aarch64OKMar 06 2025
R-4.5-linux-x86_64OKMar 06 2025
R-4.4-win-x86_64OKMar 06 2025
R-4.4-mac-x86_64OKMar 06 2025
R-4.4-mac-aarch64OKMar 06 2025
R-4.4-linux-x86_64OKMar 06 2025
R-4.3-win-x86_64OKMar 06 2025
R-4.3-mac-x86_64OKMar 06 2025
R-4.3-mac-aarch64OKMar 06 2025

Exports:chooseClusteringSizechooseLambdagetOrder3TensorgetOrder4TensortbmClustering

Dependencies: