Similarity-Based Clustering Recent Developments and Biomedical Applications
This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular ch...
Other Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2009, 2009
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Edition: | 1st ed. 2009 |
Series: | Lecture Notes in Artificial Intelligence
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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