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TensorClustering  

Model-Based Tensor Clustering
View on CRAN: Click here


Download and install TensorClustering package within the R console
Install from CRAN:
install.packages("TensorClustering")

Install from Github:
library("remotes")
install_github("cran/TensorClustering")

Install by package version:
library("remotes")
install_version("TensorClustering", "1.0.2")



Attach the package and use:
library("TensorClustering")
Maintained by
Kai Deng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-09
Latest Update: 2021-06-26
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>.
How to cite:
Kai Deng (2021). TensorClustering: Model-Based Tensor Clustering. R package version 1.0.2, https://cran.r-project.org/web/packages/TensorClustering. Accessed 28 Jan. 2025.
Previous versions and publish date:
1.0.1 (2021-04-09 11:10)
Other packages that cited TensorClustering R package
View TensorClustering citation profile
Other R packages that TensorClustering depends, imports, suggests or enhances
Complete documentation for TensorClustering
Functions, R codes and Examples using the TensorClustering R package
Some associated functions: DEEM . TEMM . TGMM . tune_K . tune_lamb . tune_u_joint . tune_u_sep . 
Some associated R codes: DEEM.R . DEEM_utility.R . TEMM.R . TEMM_utility.R . TGMM.R . estGamma_all.R . tune_K.R . tune_lamb.R . tune_u_joint.R . tune_u_sep.R .  Full TensorClustering package functions and examples
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