Fast Approximate $K$-Means via Cluster Closures.
Jingdong WangJing WangQifa KeGang ZengShipeng LiPublished in: CoRR (2013)
Keyphrases
- k means
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- cluster centers
- constrained clustering
- unsupervised clustering
- initial cluster centers
- clustering quality
- clustering framework
- variable weighting
- rough k means
- clustering method
- clustering approaches
- agglomerative hierarchical clustering
- clustering result
- hierarchical clustering algorithms
- self organizing maps
- cluster validity
- hierarchical agglomerative clustering
- model based clustering
- spectral clustering
- cluster ensemble
- partitional clustering
- neural network
- semi supervised clustering
- transitive closure
- unsupervised learning
- semi supervised
- fuzzy clustering algorithm
- cluster structure
- normalized cut
- fuzzy clustering
- hierarchical agglomerative
- database
- davies bouldin