Differentiable Deep Clustering with Cluster Size Constraints.
Aude GenevayGabriel Dulac-ArnoldJean-Philippe VertPublished in: CoRR (2019)
Keyphrases
- constrained clustering
- clustering algorithm
- instance level constraints
- data clustering
- semi supervised clustering
- cluster analysis
- hierarchical clustering
- clustering method
- cluster membership
- k means
- overlapping clusters
- clustering approaches
- inter cluster
- unsupervised clustering
- data points
- spectral clustering
- intra cluster
- cluster validation
- clustering procedure
- data objects
- supervised clustering
- unsupervised learning
- clustering quality
- cluster centers
- clustering framework
- pair wise constraints
- subspace clustering
- cluster validity
- clustering result
- rough k means
- clustering analysis
- semi supervised
- pairwise constraints
- categorical data
- agglomerative hierarchical clustering
- density based clustering algorithm
- model based clustering
- pairwise similarities
- global constraints
- document clustering
- homogeneous groups
- constraint satisfaction
- evolutionary clustering
- cluster structure
- image segmentation
- pairwise
- web sessions
- overlapping clustering
- arbitrary shape
- loss function
- self organizing maps
- outlier detection
- hierarchical clustering algorithm
- fuzzy c means
- density based clustering
- neighborhood information