Abstract
Clustering is the process of understanding the structure implicit in a dataset, as a way of understanding more deeply the system that the data describes. This is an inherently messy process, because of the ambiguity of what is meant by “understanding”. It is also a complex process, because of the properties of significant real-world systems, and so the properties of the data about them.
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Skillicorn, D.B. (2012). Conclusions. In: Understanding High-Dimensional Spaces. SpringerBriefs in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33398-9_9
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DOI: https://doi.org/10.1007/978-3-642-33398-9_9
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