Abstract
The clustering technique is one of the core tools that is used by the data miner. Clustering gives us the opportunity to group observations in a generally unguided fashion according to how similar they are. This is done on the basis of a measure of the distance between observations. For example, we might have a dataset that is made up of school children of various heights, a range of weights, and different ages.
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© 2011 Springer Science+Business Media, LLC
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Williams, G. (2011). Cluster Analysis. In: Data Mining with Rattle and R. Use R. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9890-3_9
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DOI: https://doi.org/10.1007/978-1-4419-9890-3_9
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