Advances in Self-Organising Maps

Abstract

Towards an information-theoretic approach to kernel-based topographic map formation.- A statistical tool to assess the reliability of self-organising maps.- A SOM association network.- A supervised self-organising map for structured data.- Human gait analysis using SOM.- Exploring financial crises data with self-organising maps (SOM).- Analysing health inequalities using SOM.- Integrating contextual information into text document clustering with self-organising maps.- Self-organising Internet semantic network.- Recursive learning rules for SOMs.- Induced Vorono kernels for principal manifolds approximation.- Visualisation induced SOM (ViSOM).- An approach to automated interpretation of SOM.- VQ-based clustering algorithm of piecewise-dependant-data.- Adaptive subspace encoders using stochastic vector quantisers.- SHAPESOM.- A new interpolation algorithm employing a self organising map.- SOM-based exploratory analysis of gene expression data.- Exploring power transformer database using self-organising maps (SOM) and minimal spanning tree (MST).- Recent advances with the growing hierarchical self-organising Map.- Self-organising maps of web link information.- A design method of DNA chips using self-organising maps.- Multi-dimensional self-organising maps on massively parallel hardware.- A new method of Hough transform by using SOM with input vector transformation.- Estimating relevant input dimensions for self-organising algorithms.- An overview on unsupervised learning from data mining perspective.- Recursive self-organising maps.- An investigation into catastrophic interference on a SOM network.- A topography-preserving latent variable model with learning metrics.- Vector quantisation with g-observable neighbors.- Dynamic vector quantisation of speech.- Optimisation of electronic parts mounting machines using SOM-TSP method with 5 dimensional data.- Self-organising maps forcondition assessment of paper insulated cables.- An essay in classifying self-organising maps for temporal sequence processing.- Evaluating SOM-based models in text classification tasks for the Greek language.- Nonlinear blind source separation using SOMs and applications to image denoising.- Signal-based feature extraction and SOM based dimension reduction in a vibration monitoring microsystem.