Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs

Amelec Viloria, Omar Bonerge Pineda Lezama. Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29 - May 2, 2019, Leuven, Belgium. Volume 151 of Procedia Computer Science, pages 1201-1206, Elsevier, 2019. [doi]

@inproceedings{ViloriaL19,
  title = {Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs},
  author = {Amelec Viloria and Omar Bonerge Pineda Lezama},
  year = {2019},
  doi = {10.1016/j.procs.2019.04.172},
  url = {https://doi.org/10.1016/j.procs.2019.04.172},
  researchr = {https://researchr.org/publication/ViloriaL19},
  cites = {0},
  citedby = {0},
  pages = {1201-1206},
  booktitle = {The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29 - May 2, 2019, Leuven, Belgium},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {151},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}