Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study.
Anandkumar BalasubramaniamThirunavukarasu BalasubramaniamRathinaraja JeyarajAnand PaulRichi NayakPublished in: CoRR (2021)
Keyphrases
- nonnegative matrix factorization
- spatio temporal
- probabilistic latent semantic indexing
- movement patterns
- negative matrix factorization
- matrix factorization
- data representation
- least squares
- nonnegative matrix
- active set
- image sequences
- spectral clustering
- principal component analysis
- document clustering
- moving objects
- factor matrices
- computer vision
- dimensionality reduction
- collaborative filtering
- data analysis
- sparsity constraints
- objective function
- multiscale