Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset

Ying hao Xu, Miquel Vidal, Beñat Arejita, Javier Diaz, Carlos Álvarez 0001, Daniel Jiménez-González, Xavier Martorell, Filippo Mantovani. Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset. In Sanzio Bassini, Marco Danelutto, Patrizio Dazzi, Gerhard R. Joubert, Frans J. Peters, editors, Parallel Computing is Everywhere, Proceedings of the International Conference on Parallel Computing, ParCo 2017, 12-15 September 2017, Bologna, Italy. Volume 32 of Advances in Parallel Computing, pages 642-651, IOS Press, 2017. [doi]

@inproceedings{XuVAD0JMM17,
  title = {Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset},
  author = {Ying hao Xu and Miquel Vidal and Beñat Arejita and Javier Diaz and Carlos Álvarez 0001 and Daniel Jiménez-González and Xavier Martorell and Filippo Mantovani},
  year = {2017},
  doi = {10.3233/978-1-61499-843-3-642},
  url = {https://doi.org/10.3233/978-1-61499-843-3-642},
  researchr = {https://researchr.org/publication/XuVAD0JMM17},
  cites = {0},
  citedby = {0},
  pages = {642-651},
  booktitle = {Parallel Computing is Everywhere, Proceedings of the International Conference on Parallel Computing, ParCo 2017, 12-15 September 2017, Bologna, Italy},
  editor = {Sanzio Bassini and Marco Danelutto and Patrizio Dazzi and Gerhard R. Joubert and Frans J. Peters},
  volume = {32},
  series = {Advances in Parallel Computing},
  publisher = {IOS Press},
  isbn = {978-1-61499-843-3},
}