G-Tric: generating three-way synthetic datasets with triclustering solutions

G-Tric: generating three-way synthetic datasets with triclustering solutions

Abstract Background Three-way data started to gain popularity due to their increasing capacity to describe inherently multivariate and temporal events, such as biological responses, social interactions along time, urban dynamics, or complex geophysical phenomena. Triclustering, subspace clustering o...

Full description

Bibliographic Details
Main Authors: João Lobo, Rui Henriques, Sara C. Madeira
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Bioinformatics
Subjects:
Three-way data analysis
Three-dimensional data
Triclustering
Synthetic data generation
Unsupervised learning
Subspace clustering
Online Access:https://doi.org/10.1186/s12859-020-03925-4

Internet

https://doi.org/10.1186/s12859-020-03925-4

Similar Items