Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement.
Ting-En LinHua XuHanlei ZhangPublished in: AAAI (2020)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- overlapping clusters
- cluster analysis
- k means
- clustering approaches
- cluster membership
- data points
- clustering framework
- unsupervised clustering
- inter cluster
- intra cluster
- disjoint clusters
- clustering procedure
- clustering scheme
- validity measures
- clustering method
- clustering analysis
- cluster centers
- evolutionary clustering
- constrained clustering
- clustering result
- supervised clustering
- categorical data
- agglomerative hierarchical clustering
- hierarchical agglomerative clustering
- self organizing maps
- clustering ensemble
- density based clustering algorithm
- similar objects
- density based clustering
- consensus clustering
- cluster structure
- cluster validation
- pair wise constraints
- spectral clustering
- overlapping clustering
- clustering quality
- document clustering
- semi supervised clustering
- web snippets
- initial cluster centers
- fuzzy clustering
- instance level constraints
- rough k means
- cluster validity
- arbitrary shape
- cluster labels
- hierarchical clustering algorithm
- information retrieval
- cluster ensemble
- information theoretic