kluster: An Efficient Scalable Procedure for Approximating the Number of Clusters in Unsupervised Learning

Hossein Estiri, Behzad Abounia Omran, Shawn N. Murphy. kluster: An Efficient Scalable Procedure for Approximating the Number of Clusters in Unsupervised Learning. Big Data Research, 13:38-51, 2018. [doi]

@article{EstiriOM18,
  title = {kluster: An Efficient Scalable Procedure for Approximating the Number of Clusters in Unsupervised Learning},
  author = {Hossein Estiri and Behzad Abounia Omran and Shawn N. Murphy},
  year = {2018},
  url = {https://www.wikidata.org/entity/Q57406600},
  researchr = {https://researchr.org/publication/EstiriOM18},
  cites = {0},
  citedby = {0},
  journal = {Big Data Research},
  volume = {13},
  pages = {38-51},
}