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tensorsparse (version 3.0)

Multiway Clustering via Tensor Block Models

Description

Implements the multiway sparse clustering approach of M. Wang and Y. Zeng, "Multiway clustering via tensor block models". Advances in Neural Information Processing System 32 (NeurIPS), 715-725, 2019.

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Install

install.packages('tensorsparse')

Monthly Downloads

130

Version

3.0

License

GPL (>= 2)

Maintainer

Yuchen Zeng

Last Published

September 27th, 2020

Functions in tensorsparse (3.0)

chooseLambda

Select the regularization coefficient for order-3 sparse tensor clustering via BIC
getOrder3Tensor

Generate a random order-3 tensor
getOrder4Tensor

Generate a random order-4 tensor
tbmClustering

Perform tensor clustering via tensor block model (TBM)
chooseClusteringSize

Select the clustering size for order-3 sparse tensor clustering via BIC