K Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities

Cite

Text

Hess and Duivesteijn. "K Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46150-8_16

Markdown

[Hess and Duivesteijn. "K Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/hess2019ecmlpkdd-magic/) doi:10.1007/978-3-030-46150-8_16

BibTeX

@inproceedings{hess2019ecmlpkdd-magic,
  title     = {{K Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities}},
  author    = {Hess, Sibylle and Duivesteijn, Wouter},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2019},
  pages     = {257-273},
  doi       = {10.1007/978-3-030-46150-8_16},
  url       = {https://mlanthology.org/ecmlpkdd/2019/hess2019ecmlpkdd-magic/}
}