A novel density-based clustering method using word embedding features for dialogue intention recognition.
Jungsun JangYeonsoo LeeSeolhwa LeeDongwon ShinDongjun KimHae-Chang RimPublished in: Clust. Comput. (2016)
Keyphrases
- clustering method
- clustering algorithm
- intention recognition
- hierarchical clustering
- subspace clustering
- k means
- cluster analysis
- affinity propagation
- co occurrence
- fuzzy c means
- feature space
- clustering framework
- clustering result
- spatial clustering
- spectral clustering
- genetic algorithm
- document clustering
- similarity measure
- human computer interaction
- data analysis
- data streams