The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering.
Erich SchubertSibylle HessKatharina MorikPublished in: LWDA (2018)
Keyphrases
- labeled data
- spectral clustering
- matrix factorization
- clustering method
- data clustering
- k means
- clustering algorithm
- negative matrix factorization
- nonnegative matrix factorization
- collaborative filtering
- instance level constraints
- training data
- recommender systems
- low rank
- constrained spectral clustering
- factorization methods
- missing data
- pairwise
- image segmentation
- pairwise constraints
- normalized cut
- graph partitioning
- constrained clustering
- cluster analysis
- clustering quality
- similarity matrix
- data sets
- similarity measure
- high order