Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution.
Jean MerletJohn H. LagergrenVerónica Melesse VergaraMikaela CashmanChristopher E. BradburneRaina PlowrightEmily GurleyWayne JoubertDaniel A. JacobsonPublished in: PASC (2023)
Keyphrases
- data driven
- temporal evolution
- clustering algorithm
- temporal information
- detection algorithm
- k means
- data clustering
- spatio temporal
- clustering method
- unsupervised learning
- temporal behavior
- temporal constraints
- hierarchical clustering
- spectral clustering
- self organizing maps
- spatial and temporal
- spatial data
- space time
- detection method
- data points
- graph theoretic
- information theoretic
- cluster analysis
- automatic detection
- fuzzy clustering
- temporal data
- temporal databases
- schema evolution
- evolutionary algorithm
- data sets