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

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-...

Full description

Bibliographic Details
Main Authors: Henriques, R. (Author), Lobo, J. (Author), Madeira, S.C (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Algorithms
article
Biological response
Cluster Analysis
Clustering algorithms
controlled study
data analysis
data quality
Databases, Factual
Geophysical phenomena
human
Humans
Increasing capacities
learning
noise
Quality control
Real-world datasets
social interaction
Social interactions
Software
State-of-the-art algorithms
Subspace clustering
Sub-Space Clustering
Synthetic data generation
Synthetic datasets
Temperature
Three-dimensional data
Three-way data analysis
Triclustering
Unsupervised learning
Yeasts
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items