Model-Based Tensor Clustering
Overview
Performs model-based tensor clustering methods including Tensor Gaussian Mixture Model (TGMM), Tensor Envelope Mixture Model (TEMM) by Deng and Zhang (2021) <DOI: 10.1111/biom.13486>, Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) <DOI: 10.1080/01621459.2021.1904959>.
- Updated descriptions after papers being published.
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘Rcpp’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-09-08
- ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 71%5 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing TensorClustering adds 11 packages (4 with compiled code, 8.7 MB of source tarballs). Heaviest: TRES 3.8 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
- ManifoldOptim through TRESfix by Oct 31
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2021-06-26
- 1.0.2Latest
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-05-05requires archived package 'rTensor'
- 1.0.12021-04-09
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-04-09
- Total releases
- 2 / 5 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 19 KB
Cite
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Run in R for the authors' preferred citation:
citation("TensorClustering")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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