Character or function to declare distance method.
If method is character, method must be "mahalanobis" or
"euclidean", "maximum", "manhattan", "canberra", "binary"
or "minkowisk".
If method is one of "euclidean", "maximum",
"manhattan", "canberra", "binary" or "minkowisk", see
dist for details,
because this function as used to compute the distance.
If method="mahalanobis", the mahalanobis distance
is computed between neighbour areas.
If method is a function, this function is
used to compute the distance.
p
The power of the Minkowski distance.
cov
The covariance matrix used to compute the mahalanobis
distance.
inverted
logical. If 'TRUE', 'cov' is supposed to contain the
inverse of the covariance matrix.
Value
A numeric, the sum of dissimilarity between the observations
id of data and the mean (scalar of vector) of
this observations.