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A Two-Dimensional Display for the Classification of Multivariate Data
August 1971 (vol. 20 no. 8)
pp. 917-923
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.
Index Terms:
Clustering, dimensionality reduction, display mapping, iterative operation, multivariate data analysis, optimal decision boundaries, pattern recognition, supervised classification, unsupervised classification.
Citation:
K. Fukunaga, D.R. Olsen, "A Two-Dimensional Display for the Classification of Multivariate Data," IEEE Transactions on Computers, vol. 20, no. 8, pp. 917-923, Aug. 1971, doi:10.1109/T-C.1971.223371
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