Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning.
Alice GattiZhixiong HuPieter GhyselsEsmond G. NgTess SmidtPublished in: CoRR (2021)
Keyphrases
- graph partitioning
- sparse matrix
- reinforcement learning
- rows and columns
- image segmentation
- graph model
- clustering algorithm
- random projections
- weighted graph
- state space
- normalized cut
- data clustering
- spectral clustering
- machine learning
- superpixels
- learning algorithm
- floating point
- multiscale
- dimensionality reduction