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...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Villmann, Thomas (Éditeur intellectuel), Biehl, M. (Éditeur intellectuel), Hammer, Barbara (Éditeur intellectuel), Verleysen, Michel (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Édition:1st ed. 2009.
Collection:Lecture Notes in Artificial Intelligence, 5400
Sujets:
Life sciences.
Bioinformatics.
Medicine-Research.
Biology-Research.
Data mining.
Information storage and retrieval systems.
Image processing-Digital techniques.
Computer vision.
Life Sciences.
Computational and Systems Biology.
Biomedical Research.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Accès en ligne:Texto Completo
Description
Résumé: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.
Description matérielle:XI, 203 p. online resource.
ISBN:9783642018053
ISSN:2945-9141 ;

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