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BSD-3-Clause licensed by Stephan Günther
Maintained by Stephan Günther <gnn dot github at gmail dot com>
The growing self organising map (GSOM) algorithm is a clustering algorithm
working on a set of n-dimensional numeric input vectors. It's output is a
network of nodes laid out in two dimensions where each node has a weight
vector associated with it. This weight vector has the same dimension as the
input vectors and is meant to be intepreted as a cluster center, i.e. it
represents those input vectors whose distance to the node's weight vector
is minimal when compared to the distance to the other nodes weight vectors.
See http://en.wikipedia.org/wiki/GSOM for an explanation of the algorithm.
The algorithm was introduced in:
Alahakoon, D., Halgamuge, S. K. and Sirinivasan, B. (2000)
Dynamic Self Organizing Maps With Controlled Growth
for Knowledge Discovery,
IEEE Transactions on Neural Networks,
Special Issue on Knowledge Discovery and Data Mining, 11, pp 601-614.
