Fast approximate k-means via cluster closures.
Jing WangJingdong WangQifa KeGang ZengShipeng LiPublished in: CVPR (2012)
Keyphrases
- k means
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- cluster centers
- unsupervised clustering
- initial cluster centers
- constrained clustering
- variable weighting
- rough k means
- clustering quality
- clustering approaches
- clustering framework
- agglomerative hierarchical clustering
- clustering result
- spectral clustering
- clustering method
- cluster validity
- cluster structure
- hierarchical agglomerative clustering
- normalized cut
- semi supervised clustering
- text clustering
- fuzzy c means
- model based clustering
- cluster centroids
- data points
- hierarchical clustering methods
- disjoint clusters
- search engine
- kernel based clustering
- fuzzy k means
- transitive closure
- exact solution
- data objects
- self organizing maps
- unsupervised learning
- feature selection