Package: TensorClustering 1.0.2

Kai Deng

TensorClustering: Model-Based Tensor Clustering

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>.

Authors:Kai Deng [aut, cre], Yuqing Pan [aut], Xin Zhang [aut], Qing Mai [aut]

TensorClustering_1.0.2.tar.gz
TensorClustering_1.0.2.tar.gz(r-4.5-noble)TensorClustering_1.0.2.tar.gz(r-4.4-noble)
TensorClustering_1.0.2.tgz(r-4.4-emscripten)TensorClustering_1.0.2.tgz(r-4.3-emscripten)
TensorClustering.pdf |TensorClustering.html✨
TensorClustering/json (API)
NEWS

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

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

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

fortran

1.70 score 1 scripts 145 downloads 7 exports 12 dependencies

Last updated 3 years agofrom:84c9be33b5. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64NOTENov 25 2024

Exports:DEEMTEMMTGMMtune_Ktune_lambtune_u_jointtune_u_sep

Dependencies:abindassertthatcombinatManifoldOptimMASSmvtnormpracmaRcppRcppArmadillorTensortensrTRES