Competitive learning algorithms for vector quantization
Neural Networks
An introduction to neural and electronic networks
Faithful representations with topographic maps
Neural Networks
Self-Organizing Maps
Improved redundancy of a version of the Lempel-Ziv algorithm
IEEE Transactions on Information Theory
Probabilistic Self-Organizing Graphs
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Probabilistic self-organizing maps for continuous data
IEEE Transactions on Neural Networks
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We propose a new self-organizing neural model that considers a dynamic topology among neurons. This leads to greater plasticity with respect to the self-organizing neural network (SOFM). Theorems are presented and proved that ensure the stability of the network and its ability to represent the input distribution. Finally, simulation results are shown to demonstrate the performance of the model, with an application to colour image compression.