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A Two-Dimensional Display for the Classification of Multivariate Data

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2 Author(s)

The properties of a two-dimensional display whose coordinates are the Euclidean distances from two points in a multivariate space are presented. When used in conjunction with three linear normalization procedures, this display is a useful tool in both supervised and unsupervised classification problems. In addition, some geometric structure is preserved by this mapping. Examples using well-known Iris data are presented to demonstrate the display characteristics.

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Computers, IEEE Transactions on  (Volume:C-20 ,  Issue: 8 )