TensorClustering: Model-Based Tensor Clustering

Performs model-based tensor clustering methods including Tensor Gaussian Mixture Model (TGMM) and Tensor Envelope Mixture Model (TEMM) by Deng and Zhang (2021, tentatively accepted by Biometrics), Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) <arXiv:2012.10032>.

Version: 1.0.1
Imports: MASS, tensr, rTensor, TRES, abind, combinat, pracma, stats, mvtnorm, Rcpp
LinkingTo: Rcpp
Published: 2021-04-09
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

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Reference manual: TensorClustering.pdf
Package source: TensorClustering_1.0.1.tar.gz
Windows binaries: r-devel: TensorClustering_1.0.1.zip, r-release: TensorClustering_1.0.1.zip, r-oldrel: TensorClustering_1.0.1.zip
macOS binaries: r-release: TensorClustering_1.0.1.tgz, r-oldrel: TensorClustering_1.0.1.tgz

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