Regularized and sparse stochastic k-means for distributed large-scale clustering.
Vilen JumutcRocco LangoneJohan A. K. SuykensPublished in: IEEE BigData (2015)
Keyphrases
- k means
- clustering algorithm
- clustering method
- cluster analysis
- data clustering
- spectral clustering
- hierarchical clustering
- kernel based clustering
- self organizing maps
- distributed environment
- rough k means
- unsupervised clustering
- distributed systems
- kohonen self organizing maps
- data intensive
- document clustering
- fuzzy c means
- clustering analysis
- multi agent
- distributed stream processing
- cluster centers
- high dimensional
- initial cluster centers
- text clustering
- clustering result
- fuzzy k means
- clustering approaches
- regularized least squares
- real world
- soft assignment
- agglomerative hierarchical clustering
- clustering framework
- constrained clustering
- clustering quality
- expectation maximization
- consensus clustering
- affinity propagation
- hierarchical agglomerative clustering
- semi supervised clustering
- least squares
- sparse coding
- mobile agents
- information theoretic