The Parameter-Less Self-Organizing Map algorithm
Neural and Evolutionary Computing
2007-05-23 v2 Artificial Intelligence
Computer Vision and Pattern Recognition
Abstract
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.
Keywords
Cite
@article{arxiv.0705.0199,
title = {The Parameter-Less Self-Organizing Map algorithm},
author = {Erik Berglund and Joaquin Sitte},
journal= {arXiv preprint arXiv:0705.0199},
year = {2007}
}