An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark

José María Luna-Romera, María del Mar Martínez-Ballesteros, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos. An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. In Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado, editors, Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings. Volume 9868 of Lecture Notes in Computer Science, pages 160-169, Springer, 2016. [doi]

@inproceedings{Luna-RomeraMGS16,
  title = {An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark},
  author = {José María Luna-Romera and María del Mar Martínez-Ballesteros and Jorge García-Gutiérrez and José Cristóbal Riquelme Santos},
  year = {2016},
  doi = {10.1007/978-3-319-44636-3_15},
  url = {http://dx.doi.org/10.1007/978-3-319-44636-3_15},
  researchr = {https://researchr.org/publication/Luna-RomeraMGS16},
  cites = {0},
  citedby = {0},
  pages = {160-169},
  booktitle = {Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings},
  editor = {Oscar Luaces and José A. Gámez and Edurne Barrenechea and Alicia Troncoso and Mikel Galar and Héctor Quintián and Emilio Corchado},
  volume = {9868},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-44635-6},
}