Advances in Self-Organizing Maps

9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings

Editors:

ISBN: 978-3-642-35229-4 (Print) 978-3-642-35230-0 (Online)

Table of contents (36 chapters)

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  1. Front Matter

    Pages 1-11

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    Pages 1-12

    How to Visualize Large Data Sets?

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    Pages 13-22

    On-Line Relational SOM for Dissimilarity Data

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    Pages 23-33

    Non-Euclidean Principal Component Analysis and Oja’s Learning Rule – Theoretical Aspects

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    Pages 35-44

    Classification of Chain-Link and Other Data with Spherical SOM

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    Pages 45-54

    Unsupervised Weight-Based Cluster Labeling for Self-Organizing Maps

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    Pages 55-64

    Controlling Self-Organization and Handling Missing Values in SOM and GTM

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    Pages 65-74

    Opposite Maps for Hard Margin Support Vector Machines

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    Pages 75-84

    Intuitive Volume Exploration through Spherical Self-Organizing Map

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    Pages 85-94

    Using SOM as a Tool for Automated Design of Clustering Systems Based on Fuzzy Predicates

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    Pages 95-104

    From Forced to Natural Competition in a Biologically Plausible Neural Network

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    Pages 105-114

    Sparse Coding Neural Gas Applied to Image Recognition

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    Pages 115-124

    Hand Tracking with an Extended Self-Organizing Map

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    Pages 125-134

    Trajectory Analysis on Spherical Self-Organizing Maps with Application to Gesture Recognition

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    Pages 135-143

    Image Representation Using the Self-Organizing Map

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    Pages 145-152

    Inverse Halftoning by Means of Self-Organizing Maps

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    Pages 153-162

    Restoration Model with Inference Capability of Self-Organizing Maps

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    Pages 163-171

    Improvements in the Visualization of Segmented Areas of Patterns of Dynamic Laser Speckle

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    Pages 173-182

    Online Visualization of Prototypes and Receptive Fields Produced by LVQ Algorithms

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    Pages 183-192

    Efficient Approximations of Kernel Robust Soft LVQ

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    Book Chapter

    Pages 193-204

    Gradient Based Learning in Vector Quantization Using Differentiable Kernels

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