Table of Contents

I: Dynamics of Similarity-Based Clustering.- Statistical Mechanics of On-line Learning.- Some Theoretical Aspects of the Neural Gas Vector Quantizer.- Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings.- II: Information Representation.- Advances in Feature Selection with Mutual Information.- Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data.- Median Topographic Maps for Biomedical Data Sets.- Visualization of Structured Data via Generative Probabilistic Modeling.- III: Particular Challenges in Applications.- Learning Highly Structured Manifolds: Harnessing the Power of SOMs.- Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images.- HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods.