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German-Japanese Interchange of Data Analysis Results [electronic resource] / edited by Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada.

By: Gaul, Wolfgang [editor.].
Contributor(s): Geyer-Schulz, Andreas [editor.] | Baba, Yasumasa [editor.] | Okada, Akinori [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Classification, Data Analysis, and Knowledge Organization: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XIII, 267 p. 47 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319012643.Subject(s): Statistics | Electronic data processing | Mathematical statistics | Economics -- Statistics | Statistics | Statistics and Computing/Statistics Programs | Computing Methodologies | Statistics for Business/Economics/Mathematical Finance/Insurance | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Statistics for Life Sciences, Medicine, Health SciencesDDC classification: 519.5 Online resources: Click here to access online
Contents:
Clustering -- Analysis of Data and Models -- Applications.
In: Springer eBooksSummary: This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, from algorithmic innovations for graph clustering to new visualization and evaluation techniques. The second part addresses new developments in data and decision analysis (conjoint analysis, non-additive utility functions, analysis of asymmetric relationships, and regularization techniques). The third part is devoted to the application of innovative data analysis methods in the life-sciences, the social sciences and in engineering. All contributions in this volume are revised and extended versions of selected papers presented in the German/Japanese Workshops at Karlsruhe (2010) and Kyoto (2012). 
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Clustering -- Analysis of Data and Models -- Applications.

This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, from algorithmic innovations for graph clustering to new visualization and evaluation techniques. The second part addresses new developments in data and decision analysis (conjoint analysis, non-additive utility functions, analysis of asymmetric relationships, and regularization techniques). The third part is devoted to the application of innovative data analysis methods in the life-sciences, the social sciences and in engineering. All contributions in this volume are revised and extended versions of selected papers presented in the German/Japanese Workshops at Karlsruhe (2010) and Kyoto (2012). 

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