Hierarchy of Groups Evaluation Using Different F-score Variants
March 28, 2016 Β· Declared Dead Β· π Asian Conference on Intelligent Information and Database Systems
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Authors
MichaΕ Spytkowski, Εukasz P. Olech, Halina KwaΕnicka
arXiv ID
1603.08323
Category
cs.CV: Computer Vision
Citations
5
Venue
Asian Conference on Intelligent Information and Database Systems
Last Checked
4 months ago
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.
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