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G-Tric: generating three-way synthetic datasets with triclustering solutions
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 of three-...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789692/ https://www.ncbi.nlm.nih.gov/pubmed/33413095 http://dx.doi.org/10.1186/s12859-020-03925-4 |