A highly optimized skeleton for unbalanced and deep divide-and-conquer algorithms on multi-core clusters.
Millán Álvarez MartínezBasilio B. FraguelaJosé Carlos CabaleiroPublished in: J. Supercomput. (2022)
Keyphrases
- highly optimized
- learning algorithm
- special purpose
- optimization problems
- information retrieval
- significant improvement
- clustering algorithm
- computational cost
- general purpose
- computationally efficient
- times faster
- data clustering
- neural network
- pairwise
- theoretical analysis
- benchmark datasets
- shape analysis
- subspace clustering