The Parameter-Less Self-Organizing Map algorithm

Details The Parameter-Less Self-Organizing Map algorithm The Parameter-Less Self-Organizing Map algorithm

2007-05-02

arxiv.org/abs/0705.0199v2

IEEE Transactions on Neural Networks, 2006 v.17, n.2, pp.305-316

Computer Science

Neural and Evolutionary Computing

29 pages, 27 figures. Based on publication in IEEE Trans. on Neural Networks

Scientific paper

The Parameter-Less Self-Organizing Map (PLSOM) is a new neural network algorithm based on the Self-Organizing Map (SOM). It eliminates the need for a learning rate and annealing schemes for learning rate and neighbourhood size. We discuss the relative performance of the PLSOM and the SOM and demonstrate some tasks in which the SOM fails but the PLSOM performs satisfactory. Finally we discuss some example applications of the PLSOM and present a proof of ordering under certain limited conditions.

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