k^2 k 2 -means for Fast and Accurate Large Scale Clustering.
Eirikur AgustssonRadu TimofteLuc Van GoolPublished in: ECML/PKDD (2) (2017)
Keyphrases
- k means
- clustering algorithm
- clustering method
- data clustering
- hierarchical clustering
- spectral clustering
- kernel based clustering
- self organizing maps
- cluster analysis
- unsupervised clustering
- document clustering
- clustering approaches
- rough k means
- highly accurate
- fuzzy k means
- cluster centers
- clustering quality
- high quality
- agglomerative hierarchical clustering
- clustering framework
- constrained clustering
- cluster ensemble
- center based clustering
- classical clustering algorithms
- high accuracy
- small scale
- unsupervised learning
- clustering result
- consensus clustering
- fuzzy clustering algorithm
- text clustering
- hierarchical agglomerative clustering
- clustering analysis
- variable weighting
- real life
- real world
- categorical data
- subspace clustering