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What are the true clusters?

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Hennig, Christian·2015·Pattern Recognition Letters

Abstract

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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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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