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TensorClustering

Model-Based Tensor Clustering

v1.0.2 · Jun 25, 2021 · MIT + file LICENSE

Description

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>.

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dependencies in R code

Namespace in Imports field not imported from: ‘Rcpp’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘Rcpp’
  All declared Imports should be used.
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘Rcpp’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘Rcpp’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies MASS tensr rTensor TRES abind combinat pracma mvtnorm Rcpp TensorClustering

Version History

new 1.0.2 Mar 9, 2026