Abstract
A clustering method tries to partition inputs into different groups/clusters (see chapter 1 for terminology). For an introductory example the following 1000 two dimensional inputs are clustered (the details of construction are outlined in a minute).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Zielesny, A. (2016). Clustering. In: From Curve Fitting to Machine Learning. Intelligent Systems Reference Library, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-319-32545-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-32545-3_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32544-6
Online ISBN: 978-3-319-32545-3
eBook Packages: EngineeringEngineering (R0)