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What are the true clusters?
Open accessAbstract
Constructivist philosophy and Hasok Chang’s active scientific realism are used to argue that the idea of “truth” in cluster analysis depends on the context and the clustering aims. Different characteristics of clusterings are required in different situations. Researchers should be explicit about on what requirements and what idea of “true clusters” their research is based, because clustering becomes scientific not through uniqueness but through transparent and open communication. The idea of “natural kinds” is a human construct, but it highlights the human experience that the reality outside the observer’s control seems to make certain distinctions between categories inevitable. Various desirable characteristics of clusterings and various approaches to define a context-dependent truth are listed, and I discuss what impact these ideas can have on the comparison of clustering methods, and the choice of a clustering methods and related decisions in practice.
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Cited by
Pohle, J., Langrock, R., van Beest, F. M., & Schmidt, N. M. (2017) · Journal of Agricultural, Biological and Environmental Statistics · doi:10.1007/s13253-017-0283-8 · Cited by 288
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide
Sivaraman, G., Krishnamoorthy, A. N., Baur, M., Holm, C., Stan, M., Csányi, G., Benmore, C., & Vázquez-Mayagoitia, Á. (2020) · npj Computational Materials · doi:10.1038/s41524-020-00367-7 · Cited by 194
Metadata
- Authors
- Hennig, C.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 64
- Pages
- 53-62
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2154532634
- Cited by
- 277
- References
- 0
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hennig, C. (2015). What are the true clusters? Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2015.04.009
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