Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.
Anandkumar BalasubramaniamThirunavukarasu BalasubramaniamRathinaraja JeyarajAnand PaulRichi NayakPublished in: AusDM (2021)
Keyphrases
- nonnegative matrix factorization
- spatio temporal
- movement patterns
- probabilistic latent semantic indexing
- negative matrix factorization
- matrix factorization
- spectral clustering
- active set
- data representation
- nonnegative matrix
- least squares
- principal component analysis
- document clustering
- original data
- image sequences
- moving objects
- data sets
- feature vectors
- relational databases
- similarity measure
- sparsity constraints
- computer vision
- data mining