Dip-means: an incremental clustering method for estimating the number of clusters.
Argyris KalogeratosAristidis LikasPublished in: NIPS (2012)
Keyphrases
- clustering method
- clustering algorithm
- hierarchical clustering
- cluster analysis
- graph clustering
- clustering framework
- document clustering
- spatial clustering
- affinity propagation
- unsupervised clustering
- fuzzy c means
- subspace clustering
- k means
- clustering result
- clustering approaches
- spectral clustering
- hierarchical clustering algorithm
- hierarchical agglomerative clustering
- similarity measure
- constrained clustering
- cluster centers
- relational clustering