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Innovations in Classification, Data Science, and Information Systems

Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Daniel Baier

    1. Institute of Business Administration and Economics, Brandenburg University of Technology Cottbus, Cottbus, Germany

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  2. Klaus-Dieter Wernecke

    1. Department of Medical Biometrics Charité Virchow-Klinikum, Humboldt University Berlin, Berlin, Germany

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Table of contents (70 papers)

  1. Front Matter

    Pages I-XII
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  2. Discrimination and Clustering

    1. A New Agglomerative 2–3 Hierarchical Clustering Algorithm

      • Sergiu Chelcea, Patrice Bertrand, Brigitte Trousse
      Pages 3-10

    2. Symbolic Classifier with Convex Hull Based Dissimilarity Function

      • Francisco A.T. de Carvalho, Simith T. D’Oliveira Júnior
      Pages 11-18

    3. Two-Mode Cluster Analysis via Hierarchical Bayes

      • Wayne S. DeSarbo, Duncan K. H. Fong, John Liechty
      Pages 19-29

    4. On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse

      • Wojciech Gamrot
      Pages 30-37

    5. Regression Clustering with Redescending M-Estimators

      • Tim Garlipp, Christine H. Müller
      Pages 38-45

    6. ClusCorr98 - Adaptive Clustering, Multivariate Visualization, and Validation of Results

      • Hans-Joachim Mucha, Hans-Georg Bartel
      Pages 46-53

    7. Stratification Before Discriminant Analysis: A Must?

      • Jean-Paul Rasson, Jean-Yves Pirçon, François Roland
      Pages 54-61

    8. An Exchange Algorithm for Two-Mode Cluster Analysis

      • Manfred Schwaiger, Raimund Rix
      Pages 62-68

    9. Model-Based Cluster Analysis Applied to Flow Cytometry Data

      • Ute Simon, Hans-Joachim Mucha, Rainer Brüggemann
      Pages 69-76

    10. On Stratification Using Auxiliary Variables and Discriminant Method

      • Marcin Skibicki
      Pages 77-80

    11. Measuring Distances Between Variables by Mutual Information

      • Ralf Steuer, Carsten O. Daub, Joachim Selbig, Jürgen Kurths
      Pages 81-90

    12. Pareto Density Estimation: A Density Estimation for Knowledge Discovery

      • Alfred Ultsch
      Pages 91-100

  3. Probability Models and Statistical Methods

    1. Modelling the Claim Count with Poisson Regression and Negative Binomial Regression

      • Bartłomiej Bartoszewicz
      Pages 103-110

    2. Chemical Balance Weighing Design with Different Variances of Errors

      • Bronisław Ceranka, Małgorzata Graczyk
      Pages 111-119

    3. Combination of Regression Trees and Logistic Regression to Analyse Animal Management and Disease Data

      • Susanne Dahms
      Pages 120-127

    4. Robustness of ML Estimators of Location-Scale Mixtures

      • Christian Hennig
      Pages 128-137

    5. On the Modification of the David-Hellwig Test

      • Grzegorz Konczak
      Pages 138-145

    6. Simultaneous Selection of Variables and Smoothing Parameters in Additive Models

      • Rüdiger Krause, Gerhard Tutz
      Pages 146-153

    7. Multiple Change Points and Alternating Segments in Binary Trials with Dependence

      • Joachim Krauth
      Pages 154-164
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Keywords

Editors and Affiliations

  • Institute of Business Administration and Economics, Brandenburg University of Technology Cottbus, Cottbus, Germany

    Daniel Baier

  • Department of Medical Biometrics Charité Virchow-Klinikum, Humboldt University Berlin, Berlin, Germany

    Klaus-Dieter Wernecke

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