Calculate mutual information via binning
an n by p matrix or ExpressionSet; if x is an ExpressionSet, then the function uses its 'exprs' slot.
arguments passed to
mutualInfo each row of
x is divided into
nbin groups and then the mutual information is computed, treating
the data as if they were discrete.
MIdist we use the transformation proposed by Joe (1989),
delta* = (1 - exp(-2 delta))^.5
where delta is the mutual information. The
then 1-delta*. Joe argues that this measure is then
similar to Kendall's tau,
An object of class
dist which contains the pairwise distances.
H. Joe, Relative Entropy Measures of Multivariate Dependence, JASA, 1989, 157-164.
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