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) , Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) .

TensorClustering

Performs model-based tensor clustering methods including the Tensor Envelope Mixture Model (TEMM), Doubly-Enhanced EM (DEEM) algorithm and Tensor Gaussian Mixture Model (TGMM). TEMM is proposed in the paper “Tensor Envelope Mixture Model For Simultaneous Clustering and Multiway Dimension Reduction” published in Biometrics by Deng and Zhang (2021). DEEM is proposed in the paper “A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering” published in the Journal of the American Statistical Association by Mai, Zhang, Pan and Deng (2021).

Installation

The TensorClustering package can be installed, directly from CRAN:

install.packages("TensorClustering")
library(TensorClustering)

It can also be installed from GitHub, using the devtools library:

install.packages("devtools")
library(devtools)
devtools::install_github("azuryee/TensorClustering")
library(TensorClustering)