Overview
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (21 papers)
-
Classification and Visualization
-
Methods in Fields
Keywords
About this book
This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.
Reviews
From the reviews:
“This edited volume is dedicated to the arena of clustering, classification and visualization. … This edited volume is a collection of selected papers presented at two joint German–Japanese symposia on data analysis and related fields. … Each paper starts with an abstract followed by a reasonably good introduction and the usual contents as expected in a research paper, and end with a conclusion and references. … Seemingly, the target audience may be … group of people doing research in these areas and libraries.” (Technometrics, Vol. 52 (1), February, 2010)
Bibliographic Information
Book Title: Cooperation in Classification and Data Analysis
Book Subtitle: Proceedings of Two German-Japanese Workshops
Editors: Wolfgang Gaul, Hans-Hermann Bock, Tadashi Imaizumi, Akinori Okada
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-00668-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-00667-8Published: 26 June 2009
eBook ISBN: 978-3-642-00668-5Published: 17 June 2009
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XII, 208
Number of Illustrations: 44 b/w illustrations, 11 illustrations in colour
Topics: Probability Theory and Stochastic Processes, Life Sciences, general, Mathematical Software, Statistics and Computing/Statistics Programs, Data Mining and Knowledge Discovery, Business and Management, general