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dTBM (version 3.0)

Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models

Description

Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model. See reference Jiaxin Hu and Miaoyan Wang (2023) .

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Version

Install

install.packages('dTBM')

Monthly Downloads

204

Version

3.0

License

GPL (>= 2)

Maintainer

Jiaxin Hu

Last Published

June 18th, 2023

Functions in dTBM (3.0)

Tensor-class

S4 Class for a Tensor
unfold-methods

Tensor Unfolding
angle_iteration

Angle-based iteration
as.tensor

Tensor Conversion
ttl

Tensor Times List
ttm

Tensor Matrix Product (m-Mode Product)
wkmeans

Weighted higher-order initialization
rand_tensor

Tensor with Random Entries
dtbm

Multiway spherical clustering for degree-corrected tensor block model
select_r

Cluster number selection
sim_dTBM

Simulation of degree-corrected tensor block models
kronecker_list

List Kronecker Product
peru

Peru Legislation data
fold

General Folding of Matrix
dim-methods

Mode Getter for Tensor
HCP

HCP data