Visual clustering and classification: The Oronsay particle size data set revisited

SummaryInteractive statistical graphics can be effectively used to find natural groupings in observations. In this paper we want to demonstrate how clustering and classification can be done with three approaches based on highly interactive graphical environments: high-dimensional scatterplots as available in XGobi, parallel coordinate plots as available in EXPLORN, and linked low-dimensional views as available in MANET. We will point out the strenghts and the weaknesses of these techniques by comparing their behaviour when applied to the Oronsay particle size data set.

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