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Classification and Knowledge Organization

Proceedings of the 20th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Freiburg, March 6–8, 1996

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. Rüdiger Klar

    1. Institut für Medizinische Biometrie und Medizinische Informatik, University of Freiburg, Freiburg, Germany

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  2. Otto Opitz

    1. University of Augsburg, Augsburg, Germany

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Table of contents (71 papers)

  1. Front Matter

    Pages I-XX
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  2. Data Analysis and Classification

    1. Front Matter

      Pages 1-1
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    2. Probability Models for Convex Clusters

      • Hans H. Bock
      Pages 3-14

    3. Multidimensional Scaling: Analyzing Multineuronal Spike Patterns

      • H. Haan, J. Timmer, R. Mathar, J. Krüger
      Pages 15-19

    4. Fixed Point Clusters and Their Relation to Stochastic Models

      • C. Hennig
      Pages 20-27

    5. A Metric Approach for Ordinal Regression

      • Andreas Hilbert
      Pages 28-35

    6. Graphical Stability of Data Analysing Software

      • Heike Hofmann
      Pages 36-43

    7. Recent Developments in Three-Way Data Analysis: A Showcase of Methods and Examples

      • P. M. Kroonenberg
      Pages 44-62

    8. A Hybrid Global Optimization Algorithm for Multidimensional Scaling

      • Rudolf Mathar
      Pages 63-71

    9. Ordinal Regression

      • Henning Paul
      Pages 72-79

    10. Numerical Algorithms for Multidimensional Scaling

      • Michael W. Trosset
      Pages 80-92

    11. High Dimensional Clustering Using Parallel Coordinates and the Grand Tour

      • Edward J. Wegman, Qiang Luo
      Pages 93-101

  3. Neural Networks and Pattern Recognition

    1. Front Matter

      Pages 103-103
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    2. A Symbolic Representation for Patterns in Time Series Using Definitive Clause Grammars

      • G. Guimarães, A. Ultsch
      Pages 105-111

    3. Neural Networks: A Statistician’s (Possible) View

      • K. Hornik
      Pages 112-122

    4. Dynamic Supervised Learning: Some Basic Issues and Application Aspects

      • G. Nakhaeizadeh, C. C. Taylor, G. Kunisch
      Pages 123-135

    5. A Hierarchical Neural Network Model for Pattern Recognition

      • Steffen Simon, Friedhelm Schwenker, Günther Palm
      Pages 136-142

  4. Statistical Models and Methods

    1. Front Matter

      Pages 143-143
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    2. Markov Random Field Models with Spatially Varying Coefficients

      • J. Dreesman
      Pages 145-152

    3. Distribution of a Likelihood Ratio Statistic for Spatial Disease Clusters

      • J. Krauth
      Pages 153-161
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Keywords

About this book

Large collections of data and information necessitate adequate methods for their analysis. The book presents such methods, proposes and discusses recent approaches and implementations and describes a series of practical applications.

Editors and Affiliations

  • Institut für Medizinische Biometrie und Medizinische Informatik, University of Freiburg, Freiburg, Germany

    Rüdiger Klar

  • University of Augsburg, Augsburg, Germany

    Otto Opitz

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