Advances in Self-Organising Maps
Springer London Ltd (Verlag)
978-1-85233-511-3 (ISBN)
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.
Erscheint lt. Verlag | 18.6.2001 |
---|---|
Zusatzinfo | 40 Illustrations, black and white; IX, 289 p. 40 illus. |
Verlagsort | England |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 464 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik ► Elektrotechnik / Energietechnik | |
ISBN-10 | 1-85233-511-4 / 1852335114 |
ISBN-13 | 978-1-85233-511-3 / 9781852335113 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich