Similarity-Based Clustering: Recent Developments and Biomedical Applications

✍ Scribed by Michael Biehl, Nestor Caticha, Peter Riegler (auth.), Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2009
• Tongue: English
• Leaves: 211
• Series: Lecture Notes in Computer Science 5400 : Lecture Notes in Artificial Intelligence
• Edition: 1
• Category: Library

✦ Synopsis

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 challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology.

Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics.

✦ Table of Contents

Front Matter....Pages -
Statistical Mechanics of On-line Learning....Pages 1-22
Some Theoretical Aspects of the Neural Gas Vector Quantizer....Pages 23-34
Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings....Pages 35-51
Advances in Feature Selection with Mutual Information....Pages 52-69
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data....Pages 70-91
Median Topographic Maps for Biomedical Data Sets....Pages 92-117
Visualization of Structured Data via Generative Probabilistic Modeling....Pages 118-137
Learning Highly Structured Manifolds: Harnessing the Power of SOMs....Pages 138-168
Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images....Pages 169-184
HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods....Pages 185-201
Back Matter....Pages -

✦ Subjects

Computational Biology/Bioinformatics; Biomedicine general; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Computer Imaging, Vision, Pattern Recognition and Graphics; Artificial Intelligence (incl. Robotics)