English

Hierarchy of Groups Evaluation Using Different F-score Variants

Computer Vision and Pattern Recognition 2016-03-29 v1

Abstract

The paper presents a cursory examination of clustering, focusing on a rarely explored field of hierarchy of clusters. Based on this, a short discussion of clustering quality measures is presented and the F-score measure is examined more deeply. As there are no attempts to assess the quality for hierarchies of clusters, three variants of the F-Score based index are presented: classic, hierarchical and partial order. The partial order index is the authors' approach to the subject. Conducted experiments show the properties of the considered measures. In conclusions, the strong and weak sides of each variant are presented.

Keywords

Cite

@article{arxiv.1603.08323,
  title  = {Hierarchy of Groups Evaluation Using Different F-score Variants},
  author = {Michał Spytkowski and Łukasz P. Olech and Halina Kwaśnicka},
  journal= {arXiv preprint arXiv:1603.08323},
  year   = {2016}
}

Comments

Presented on ACIIDS2016 conference https://aciids.pwr.edu.pl/. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-662-49381-6_63

R2 v1 2026-06-22T13:19:33.080Z