Sorry for flooding the list, but i found an interesting note in
Schowengerdt (2007), p. 400:
"The ISODATA algorithm (Ball and Hall, 1967) is a common modification of
the K-means algorithm and includes merging of clusters if their
separation is below a threshold, and splitting of a single cluster into
two clusters if it becomes too large"
The algorithm implemented in the i.cluster module involves merging of
classes (I_cluster_merge) though no splitting function seems to be
implemented.
Since Michael Shapiro stated that he might have used the K-means
algorithm, I think we can be pretty shure that it is a modified version
similar to the isodata algorithm, which is described as migrating means
in Richards (2006).
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