A Test of the Gaussian-ness of a Data Set Using Clustering

Authors:
K Fukunaga;T E Flick
Affiliations:
-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1986

Citing 0
Cited 1

A Test to Determine the Multivariate Normality of a Data Set

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

The properties of the ``magnifying glass'' method of clustering are discussed. These properties, which include unbiased and consistent estimation of the mean for Gaussian distributions and biased and inconsistent estimation of the mean for non-Gaussian distributions, lead to the development of a technique for testing data to determine whether or not it is Gaussian. An example of a non-Gaussian distribution is given to show the sensitivity of the proposed Gaussian test.