K-Means on Commodity GPUs with CUDA.
Hongtao BaiLili HeDantong OuyangZhan-Shan LiHe LiPublished in: CSIE (3) (2009)
Keyphrases
- k means
- gpu implementation
- general purpose
- parallel programming
- graphics hardware
- graphics processors
- commodity hardware
- clustering algorithm
- parallel computing
- graphics processing units
- spectral clustering
- data clustering
- clustering method
- parallel implementation
- expectation maximization
- parallel processing
- self organizing maps
- cpu implementation
- cluster analysis
- initial cluster centers
- shared memory
- parallel algorithm
- text clustering
- real time
- rough k means
- agglomerative hierarchical clustering
- fuzzy clustering algorithm
- feature tracking
- unsupervised clustering
- hierarchical clustering
- document clustering
- constrained clustering
- massively parallel
- computational power
- fuzzy k means
- single commodity
- learning algorithm
- data mining