German-Japanese Interchange of Data Analysis Results

  • Wolfgang Gaul
  • Andreas Geyer-Schulz
  • Yasumasa Baba
  • Akinori Okada
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Clustering

  3. Analysis of Data and Models

    1. Front Matter
      Pages 101-101
    2. Atsuho Nakayama, Hiroyuki Tsurumi, Akinori Okada
      Pages 125-134
    3. Mitsuhiro Tsuji, Hiroshi Kageyama, Toshio Shimokawa
      Pages 167-175
  4. Applications

    1. Front Matter
      Pages 177-177
    2. Kuniyoshi Hayashi, Fumio Ishioka, Bhargav Raman, Daniel Y. Sze, Hiroshi Suito, Takuya Ueda et al.
      Pages 179-192

About these proceedings

Introduction

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). 

Keywords

Applied Statistics Clustering Computing Methodologies Data Analysis

Editors and affiliations

  • Wolfgang Gaul
    • 1
  • Andreas Geyer-Schulz
    • 2
  • Yasumasa Baba
    • 3
  • Akinori Okada
    • 4
  1. 1.Karlsruhe Institute of Technology (KIT)KarlsruheGermany
  2. 2.Karlsruhe Institute of Technology (KIT)KarlsruheGermany
  3. 3.The Institute of Statistical MathematicsTokyoJapan
  4. 4.Graduate School of Management and Information SystemsTama UniversityTokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01264-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-01263-6
  • Online ISBN 978-3-319-01264-3
  • Series Print ISSN 1431-8814
  • About this book