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Classification - the Ubiquitous Challenge

Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Dortmund, March 9-11, 2004

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Claus Weihs

    1. Fachbereich Statistik, Universität Dortmund, Dortmund

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  2. Wolfgang Gaul

    1. Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), Karlsruhe

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Table of contents (82 papers)

  1. Classification and Data Analysis

    1. Experimental Design for Variable Selection in Data Bases

      • Constanze Pumplün, Claus Weihs, Andrea Preusser
      Pages 192-199

    2. KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results

      • Nils Raabe, Karsten Luebke, Claus Weihs
      Pages 200-207

    3. Clustering of Variables with Missing Data: Application to Preference Studies

      • Karin Sahmer, Evelyne Vigneau, Mostafa El Qannari, Joachim Kunert
      Pages 208-215

    4. Binary On-line Classification Based on Temporally Integrated Information

      • Christin Schäfer, Steven Lemm, Gabriel Curio
      Pages 216-223

    5. Different Subspace Classification

      • Gero Szepannek, Karsten Luebke
      Pages 224-231

    6. Density Estimation and Visualization for Data Containing Clusters of Unknown Structure

      • Alfred Ultsch
      Pages 232-239

    7. Hierarchical Mixture Models for Nested Data Structures

      • Jeroen K. Vermunt, Jay Magidson
      Pages 240-247

    8. Iterative Proportional Scaling Based on a Robust Start Estimator

      • Claudia Becker
      Pages 248-255

    9. Exploring Multivariate Data Structures with Local Principal Curves

      • Jochen Einbeck, Gerhard Tutz, Ludger Evers
      Pages 256-263

    10. A Three-way Multidimensional Scaling Approach to the Analysis of Judgments About Persons

      • Sabine Krolak-Schwerdt
      Pages 264-271

    11. Discovering Temporal Knowledge in Multivariate Time Series

      • Fabian Mörchen, Alfred Ultsch
      Pages 272-279

    12. A New Framework for Multidimensional Data Analysis

      • Shizuhiko Nishisato
      Pages 280-287

    13. External Analysis of Two-mode Three-way Asymmetric Multidimensional Scaling

      • Akinori Okada, Tadashi Imaizumi
      Pages 288-295

    14. The Relevance Vector Machine Under Covariate Measurement Error

      • David Rummel
      Pages 296-303
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Keywords

Editors and Affiliations

  • Fachbereich Statistik, Universität Dortmund, Dortmund

    Claus Weihs

  • Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), Karlsruhe

    Wolfgang Gaul

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