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Advances in Data Analysis

Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Reinhold Decker

    1. Department of Business Administration and Economics, Bielefeld University, Bielefeld, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Hans -J. Lenz

    1. Department of Economics, Freie Universität Berlin, Berlin, Germany

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (77 papers)

  1. Front Matter

    Pages I-XVI
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  2. Clustering

    1. Front Matter

      Pages 1-1
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    2. Mixture Models for Classification

      • Gilles Celeux
      Pages 3-14

    3. How to Choose the Number of Clusters: The Cramer Multiplicity Solution

      • Adriana Climescu-Haulica
      Pages 15-22

    4. Model Selection Criteria for Model-Based Clustering of Categorical Time Series Data: A Monte Carlo Study

      • José G. Dias
      Pages 23-30

    5. Cluster Quality Indexes for Symbolic Classification — An Examination

      • Andrzej Dudek
      Pages 31-38

    6. Semi-Supervised Clustering: Application to Image Segmentation

      • Mário A. T. Figueiredo
      Pages 39-50

    7. A Method for Analyzing the Asymptotic Behavior of the Walk Process in Restricted Random Walk Cluster Algorithm

      • Markus Franke, Andreas Geyer-Schulz
      Pages 51-58

    8. Cluster and Select Approach to Classifier Fusion

      • Eugeniusz Gatnar
      Pages 59-66

    9. Random Intersection Graphs and Classification

      • Erhard Godehardt, Jerzy Jaworski, Katarzyna Rybarczyk
      Pages 67-74

    10. Optimized Alignment and Visualization of Clustering Results

      • Martin Hoffmann, Dörte Radke, Ulrich Möller
      Pages 75-82

    11. Finding Cliques in Directed Weighted Graphs Using Complex Hermitian Adjacency Matrices

      • Bettina Hoser, Thomas Bierhance
      Pages 83-90

    12. Text Clustering with String Kernels in R

      • Alexandros Karatzoglou, Ingo Feinerer
      Pages 91-98

    13. Automatic Classification of Functional Data with Extremal Information

      • Fabrizio Laurini, Andrea Cerioli
      Pages 99-106

    14. Typicality Degrees and Fuzzy Prototypes for Clustering

      • Marie-Jeanne Lesot, Rudolf Kruse
      Pages 107-114

    15. On Validation of Hierarchical Clustering

      • Hans-Joachim Mucha
      Pages 115-122

  3. Classification

    1. Front Matter

      Pages 123-123
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    2. Rearranging Classified Items in Hierarchies Using Categorization Uncertainty

      • Korinna Bade, Andreas Nürnberger
      Pages 125-132

    3. Localized Linear Discriminant Analysis

      • Irina Czogiel, Karsten Luebke, Marc Zentgraf, Claus Weihs
      Pages 133-140

    4. Calibrating Classifier Scores into Probabilities

      • Martin Gebel, Claus Weihs
      Pages 141-148
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Keywords

Editors and Affiliations

  • Department of Business Administration and Economics, Bielefeld University, Bielefeld, Germany

    Reinhold Decker

  • Department of Economics, Freie Universität Berlin, Berlin, Germany

    Hans -J. Lenz

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