Greedy Fiedler Spectral Partitioning for Data-driven Discrete Exterior Calculus.
Andy HuangNathaniel TraskChristopher BrissetteXiaozhe HuPublished in: AAAI Spring Symposium: MLPS (2021)
Keyphrases
- data driven
- normalized cut
- greedy algorithm
- feature selection
- hyperspectral
- finite number
- discrete geometry
- hyperspectral images
- introducing additional
- data sets
- spectral images
- spectral characteristics
- arbitrary size
- partitioning algorithm
- locally optimal
- hyperspectral imagery
- continuous domains
- graph partitioning
- color images
- data model
- evolutionary algorithm
- reinforcement learning
- knowledge base