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...
Main Authors: | João Lobo, Rui Henriques, Sara C. Madeira |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-01-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-020-03925-4 |
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