Centroid estimation by means of uncompetitive unsupervised neural element
Giuseppe Acciani, E. Chiarantoni, Francesco Vacca · 2002
In this paper the drawbacks of classical unsupervised learning laws are discussed and the paradigms of an alternative clustering algorithm are carried out. Then a new model of neuron element able to search the centroid of clusters without competition with other neurons, as in an unsupervised competitive learning law, is singled out.>