Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings.
Aleksandar BojchevskiYves MatkovicStephan GünnemannPublished in: KDD (2017)
Keyphrases
- data modeling
- spectral clustering
- low rank representation
- database design
- data model
- clustering method
- data clustering
- affinity matrix
- object oriented
- database technology
- relational model
- pairwise
- database management
- similarity matrix
- k means
- constrained spectral clustering
- data management
- image segmentation
- clustering algorithm
- low rank
- graph laplacian
- databases
- vector space
- real world
- data warehousing
- sql server
- high dimensional
- relational databases
- decision making
- data analysis
- business intelligence
- latent variables
- supervised learning
- dimensionality reduction
- functional dependencies
- missing data