Scalable k-means for large-scale clustering.
Yuewei MingEn ZhuMao WangQiang LiuXinwang LiuJianping YinPublished in: Intell. Data Anal. (2019)
Keyphrases
- k means
- clustering algorithm
- clustering method
- data clustering
- hierarchical clustering
- spectral clustering
- web scale
- kernel based clustering
- cluster analysis
- self organizing maps
- clustering analysis
- fuzzy k means
- unsupervised clustering
- clustering quality
- massive scale
- document clustering
- real life
- text clustering
- clustering framework
- cluster centers
- data intensive
- cluster ensemble
- genetic k means algorithm
- kohonen self organizing maps
- rough k means
- expectation maximization
- agglomerative hierarchical clustering
- high scalability
- consensus clustering
- constrained clustering
- semi supervised clustering
- parameter free
- fuzzy c means
- unsupervised learning
- affinity propagation
- fuzzy clustering algorithm
- sufficient statistics
- outlier detection
- highly scalable
- neural network
- distance metric
- combining multiple
- small scale