It will be a Voronoi diagram.
There is no point taking the square root given that we only want to find the closest.
7
Sugar, C.A., and James, G.M. (2003). Finding the number of clusters in a data set: an
information theoretic approach. Journal of the American Statistical Association 98: 750–
763.
8
Covariance is discussed more fully in
Chapter 22
. Here the covariance matrix has
elements that show the covariance, and hence scaled correlation, between the different
dimensions or features of a data set.
9
See
Chapter 9
for details about such matrix manipulations.
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