The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An extensive comparative study of cluster validity indices
Open accessAbstract
The validation of the results obtained by clustering algorithms is a fundamental part of the clustering process. The most used approaches for cluster validation are based on internal cluster validity indices. Although many indices have been proposed, there is no recent extensive comparative study of their performance. In this paper we show the results of an experimental work that compares 30 cluster validity indices in many different environments with different characteristics. These results can serve as a guideline for selecting the most suitable index for each possible application and provide a deep insight into the performance differences between the currently available indices.
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Hubert, L., & Arabie, P. (1985) · Journal of Classification · doi:10.1007/bf01908075 · Cited by 8,219
Performance evaluation of some clustering algorithms and validity indices
Maulik, U., & Bandyopadhyay, S. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1114856 · Cited by 1,396
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Han, K., Vedaldi, A., & Zisserman, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00849 · Cited by 303
Oubre, B., Daneault, J.-F., Jung, H.-T., Whritenour, K., Miranda, J. G. V., Park, J., Ryu, T., Kim, Y., & Lee, S. I. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.2966950 · Cited by 78
Nystrand, B. T., & Olsen, S. O. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2021.104736 · Cited by 28
Metadata
- Authors
- Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Pérez, J. M., & Perona, I.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 46
- Issue
- 1
- Pages
- 243-256
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W1985059878
- Cited by
- 1,383
- References
- 2
- FWCI
- 29.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Pérez, J. M., & Perona, I. (2013). An extensive comparative study of cluster validity indices. Pattern Recognition. https://doi.org/10.1016/j.patcog.2012.07.021
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