A general and efficient divide-and-conquer algorithm framework for multi-core clusters.
Carlos H. GonzalezBasilio B. FraguelaPublished in: Clust. Comput. (2017)
Keyphrases
- learning algorithm
- computationally efficient
- worst case
- k means
- single pass
- np hard
- computational cost
- recognition algorithm
- times faster
- high accuracy
- detection algorithm
- high efficiency
- cost function
- pruning strategy
- objective function
- multiple instance learning
- highly efficient
- matching algorithm
- clustering algorithm
- preprocessing
- computational complexity
- neural network
- particle swarm optimization
- probabilistic model
- dynamic programming
- search space
- subspace clustering
- search algorithm