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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Acknowledgements
The research was supported by the European Commission under the 7th Framework Programme, Coordination and Support Action, Grant Agreement Number 316097, ENGINE – European research centre of Network intelliGence for INnovation Enhancement (http://engine.pwr.wroc.pl/).
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Spytkowski, M., Olech, Ł.P., Kwaśnicka, H. (2016). Hierarchy of Groups Evaluation Using Different F-Score Variants. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_63
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DOI: https://doi.org/10.1007/978-3-662-49381-6_63
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