Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

ISBN: 978-3-642-24465-0 (Print) 978-3-642-24466-7 (Online)

Table of contents (60 chapters)

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  1. Front Matter

    Pages i-xiv

  2. Classification, Cluster Analysis, and Multidimensional Scaling

    1. Front Matter

      Pages 1-1

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      Pages 3-11

      Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms

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      Pages 13-21

      An EM Algorithm for the Student-t Cluster-Weighted Modeling

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      Pages 23-28

      Analysis of Distribution Valued Dissimilarity Data

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      Pages 29-36

      An Overall Index for Comparing Hierarchical Clusterings

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      Pages 37-47

      An Accelerated K-Means Algorithm Based on Adaptive Distances

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      Pages 49-57

      Bias-Variance Analysis of Local Classification Methods

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      Pages 59-67

      Effect of Data Standardization on the Result of k-Means Clustering

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      Pages 69-77

      A Case Study on the Use of Statistical Classification Methods in Particle Physics

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      Pages 79-87

      Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets

  3. Quantification Theory

    1. Front Matter

      Pages 89-89

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      Book Chapter

      Pages 91-99

      Reduced Versus Complete Space Configurations in Total Information Analysis

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      Pages 101-108

      A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary Data

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      Pages 109-119

      Quantification Theory: Reminiscence and a Step Forward

  4. Analysis of m-Mode n-Way and Asymmetric Data

    1. Front Matter

      Pages 121-121

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      Pages 123-131

      Modelling Rater Differences in the Analysis of Three-Way Three-Mode Binary Data

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      Pages 133-141

      Reconstructing One-Mode Three-way Asymmetric Data for Multidimensional Scaling

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      Pages 143-150

      Analysis of Car Switching Data by Asymmetric Multidimensional Scaling Based on Singular Value Decomposition

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      Pages 151-159

      Visualization of Asymmetric Clustering Result with Digraph and Dendrogram

  5. Analysis of Visual, Spatial, and Temporal Data

    1. Front Matter

      Pages 161-161

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      Book Chapter

      Pages 163-171

      Clustering Temporal Population Patterns in Switzerland (1850–2000)

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      Pages 173-182

      p-adic Methods in Stereo Vision

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      Pages 183-191

      Individualized Error Estimation for Classification and Regression Models

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      Book Chapter

      Pages 193-201

      Evaluation of Spatial Cluster Detection Algorithms for Crime Locations

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