Outcome of a Dagstuhl Seminar: Similarity-Based Clustering 2009

Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann (Eds.): Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar]. Lecture Notes in Computer Science 5400 Springer 2009, ISBN 978-3-642-01804-6

Dynamics of Similarity-Based Clustering

Michael Biehl, Nestor Caticha, Peter Riegler:
Statistical Mechanics of On-line Learning. 1-22
Thomas Villmann, Barbara Hammer, Michael Biehl:
Some Theoretical Aspects of the Neural Gas Vector Quantizer. 23-34
Colin Fyfe, Wesam Barbakh:
Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings. 35-51

Michel Verleysen, Fabrice Rossi, Damien François:
Advances in Feature Selection with Mutual Information. 52-69
Marc Strickert, Frank-Michael Schleif, Thomas Villmann, Udo Seiffert:
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. 70-91
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi:
Median Topographic Maps for Biomedical Data Sets. 92-117
Nikolaos Gianniotis, Peter Tiño:
Visualization of Structured Data via Generative Probabilistic Modeling. 118-137

Erzsébet Merényi, Kadim Tasdemir, Lili Zhang:
Learning Highly Structured Manifolds: Harnessing the Power of SOMs. 138-168
Lidia Sánchez, Nicolai Petkov:
Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images. 169-184
Michal Rosen-Zvi, Ehud Aharoni, Joachim Selbig:
HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. 185-201

Last update Thu May 24 04:15:53 2012 CET by the DBLP Team —

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