Neural computation and self-organizing maps: an introduction
Neural computation and self-organizing maps: an introduction
A Bayesian analysis of self-organizing maps
Neural Computation
Self-organizing maps
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We propose a new criteria to cluster the referent vectors of the self-organizing map. This criteria contains two terms which take into account two different errors simultaneously: the square error of the entire clustering and the topological structure given by the Self Organizing Map. A parameter T allows to control the corresponding influence of these two terms. The efficiency of this criteria is illustrated on the problem of top of the atmosphere spectra of satellite ocean color measurements.