Advances in Data Analysis

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

ISBN: 978-3-540-70980-0 (Print) 978-3-540-70981-7 (Online)

Table of contents (77 chapters)

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  1. Front Matter

    Pages I-XVI

  2. Clustering

    1. Front Matter

      Pages 1-1

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      Pages 3-14

      Mixture Models for Classification

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      Pages 15-22

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

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      Pages 23-30

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

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      Pages 31-38

      Cluster Quality Indexes for Symbolic Classification — An Examination

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      Pages 39-50

      Semi-Supervised Clustering: Application to Image Segmentation

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      Pages 51-58

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

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      Pages 59-66

      Cluster and Select Approach to Classifier Fusion

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      Pages 67-74

      Random Intersection Graphs and Classification

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      Pages 75-82

      Optimized Alignment and Visualization of Clustering Results

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      Pages 83-90

      Finding Cliques in Directed Weighted Graphs Using Complex Hermitian Adjacency Matrices

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      Pages 91-98

      Text Clustering with String Kernels in R

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      Pages 99-106

      Automatic Classification of Functional Data with Extremal Information

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      Pages 107-114

      Typicality Degrees and Fuzzy Prototypes for Clustering

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      Pages 115-122

      On Validation of Hierarchical Clustering

  3. Classification

    1. Front Matter

      Pages 123-123

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      Pages 125-132

      Rearranging Classified Items in Hierarchies Using Categorization Uncertainty

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      Pages 133-140

      Localized Linear Discriminant Analysis

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      Pages 141-148

      Calibrating Classifier Scores into Probabilities

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      Pages 149-161

      Nonlinear Support Vector Machines Through Iterative Majorization and I-Splines

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      Pages 163-170

      Deriving Consensus Rankings from Benchmarking Experiments

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      Book Chapter

      Pages 171-178

      Classification of Contradiction Patterns

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