Brief Announcement: Fast and Better Distributed MapReduce Algorithms for k-Center Clustering.
Sungjin ImBenjamin MoseleyPublished in: SPAA (2015)
Keyphrases
- learning algorithm
- data clustering
- computational complexity
- computational cost
- optimization problems
- clustering algorithm
- distributed computation
- data intensive
- outlier detection
- self organizing maps
- benchmark datasets
- significant improvement
- k means
- multi agent
- distributed systems
- cluster analysis
- spectral clustering
- hierarchical clustering
- data mining tasks
- data structure
- synthetic and real datasets
- agglomerative hierarchical clustering
- distributed constraint optimization
- binary vectors