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A Method of Using Cluster Analysis to Study Statistical Dependence in Multivariate Data

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3 Author(s)
W. J. Borucki ; NASA Ames Research Center ; D. H. Card ; G. C. Lyle

A technique is presented that uses both cluster analysis and a Monte Carlo significance test of clusters to discover associations between variables in multidimensional data. The method is applied to an example of a noisy function in three-dimensional space, to a sample from a mixture of three bivariate normal distributions, and to the well-known Fisher's Iris data.

Published in:

IEEE Transactions on Computers  (Volume:C-24 ,  Issue: 12 )