A new technique Gray scale display of input data using shooting SOM and genetic algorithm
S. Sirisin, W. Jonburom, N. Rattanakorn, Nithiroth Pornsuwancharoen · Procedia Engineering · 2012
We present the Self-Organizing Map (SOM) is popular algorithm for unsupervised learning, which is widely applied for many applications. In the result, we have proposed a new type of SOM algorithm, The important feature of SSOM is that the neurons move like aiming at a target, namely and only some neurons near the cluster move toward the cluster to hit the area where input data are concentrated and 1 cell to neighborhood neurons cell of the winner neuron get away a fraction of an inch from the cluster. The feature, SSOM tends to self-organize each cluster along the figure of each cluster. We investigate the behavior of SSOM and apply Genetic Algorithm to data visualization problems.