Similarity-based clustering : recent developments and biomedical applications / Michael Biehl [and others] (eds.).
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...
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
[2009]
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| Series: | Lecture notes in computer science.
Lecture notes in computer science. Lecture notes in artificial intelligence ; 5400. Lecture notes in computer science. State-of-the-art survey. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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 |
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| Physical Description: | 1 online resource (ix, 201 pages) : illustrations (some colour). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3642018041 9783642018046 3642018068 9783642018060 1282634607 9781282634602 364201805X 9783642018053 |
| ISSN: | 0302-9743. |