ROCK Algorithm parallelization with TOREADOR primitives
| Main Authors: | Beniamino Di Martino, Salvatore D'Angelo, Antonio Esposito, Anderson Santana de Oliveira, Riccardo Cappuzzo |
|---|---|
| Format: | Proceeding eJournal |
| Terbitan: |
, 2018
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| Online Access: |
https://zenodo.org/record/1489782 |
Daftar Isi:
- We present the benefits of applying the code once deploy everywhere approach to clustering of categorical data over large datasets. The paper brings two main contributions: an step-by step application of the code based approach and an enhancement for the ROCK algorithm for clustering categorical data.