Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering.
Nate VeldtDavid F. GleichAnthony WirthPublished in: CoRR (2017)
Keyphrases
- correlation clustering
- hierarchical clustering
- constrained clustering
- clustering framework
- clustering algorithm
- clustering method
- k means
- data clustering
- normalized cut
- duplicate detection
- cluster analysis
- semi supervised
- spectral clustering
- similarity metric
- cluster centers
- clustering quality
- high dimensional datasets
- self organizing maps
- data objects
- similarity matrix
- distance metric
- outlier detection
- data points
- multi objective
- pairwise