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Methods for the visualization of clustered climate data

  • Increasing amounts of large climate data require new analysis techniques. The area of data mining investigates new paradigms and methods including factors like scalability, flexibility and problem abstraction for large data sets. The field of visual data mining in particular offers valuable methods for analyzing large amounts of data intuitively. In this paper we describe our approach of integrating cluster analysis and visualization methods for the exploration of climate data. We integrated cluster algorithms, appropriate visualization techniques and sophisticated interaction paradigms into a general framework

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Author details:T. Nocke, H. Schumann, Uwe Böhm
ISSN:0943-4062
Publication type:Article
Language:English
Year of first publication:2004
Publication year:2004
Release date:2017/03/24
Source:Computational Statistics. - ISSN 0943-4062. - 19 (2004), 1, S. 75 - 94
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik
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