Model-Based Tensor Clustering [R package TensorClustering version 1.0.2]

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>.

Version:	1.0.2
Imports:	MASS, tensr, rTensor, TRES, abind, combinat, pracma, stats, mvtnorm, Rcpp
LinkingTo:	Rcpp
Published:	2021-06-26
DOI:	10.32614/CRAN.package.TensorClustering
Author:	Kai Deng [aut, cre], Yuqing Pan [aut], Xin Zhang [aut], Qing Mai [aut]
Maintainer:	Kai Deng <kd18h at stat.fsu.edu>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	TensorClustering results

Documentation:

Reference manual:

TensorClustering.html , TensorClustering.pdf

Downloads:

Package source:	TensorClustering_1.0.2.tar.gz
Windows binaries:	r-devel: TensorClustering_1.0.2.zip, r-release: TensorClustering_1.0.2.zip, r-oldrel: TensorClustering_1.0.2.zip
macOS binaries:	r-release (arm64): TensorClustering_1.0.2.tgz, r-oldrel (arm64): TensorClustering_1.0.2.tgz, r-release (x86_64): TensorClustering_1.0.2.tgz, r-oldrel (x86_64): TensorClustering_1.0.2.tgz
Old sources:	TensorClustering archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TensorClustering to link to this page.