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ORCIDOutcome of a Dagstuhl Seminar: Similarity-Based Clustering 2009
- Michael Biehl
, Barbara Hammer, Michel Verleysen, Thomas Villmann:
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
Information Representation
- 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
Particular Challenges in Applications
- 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
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