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

ISBN: 978-3-540-23221-6 (Print) 978-3-540-26981-6 (Online)

Table of contents (70 chapters)

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  1. Discrimination and Clustering

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      Pages 3-10

      A New Agglomerative 2–3 Hierarchical Clustering Algorithm

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      Pages 11-18

      Symbolic Classifier with Convex Hull Based Dissimilarity Function

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      Pages 19-29

      Two-Mode Cluster Analysis via Hierarchical Bayes

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      Pages 30-37

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

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      Pages 38-45

      Regression Clustering with Redescending M-Estimators

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      Pages 46-53

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

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      Pages 54-61

      Stratification Before Discriminant Analysis: A Must?

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      Pages 62-68

      An Exchange Algorithm for Two-Mode Cluster Analysis

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      Pages 69-76

      Model-Based Cluster Analysis Applied to Flow Cytometry Data

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      Pages 77-80

      On Stratification Using Auxiliary Variables and Discriminant Method

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      Pages 81-90

      Measuring Distances Between Variables by Mutual Information

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      Pages 91-100

      Pareto Density Estimation: A Density Estimation for Knowledge Discovery

  2. Probability Models and Statistical Methods

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      Pages 103-110

      Modelling the Claim Count with Poisson Regression and Negative Binomial Regression

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      Pages 111-119

      Chemical Balance Weighing Design with Different Variances of Errors

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      Pages 120-127

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

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      Pages 128-137

      Robustness of ML Estimators of Location-Scale Mixtures

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      Pages 138-145

      On the Modification of the David-Hellwig Test

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      Pages 146-153

      Simultaneous Selection of Variables and Smoothing Parameters in Additive Models

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      Pages 154-164

      Multiple Change Points and Alternating Segments in Binary Trials with Dependence

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      Pages 165-172

      Outlier Identification Rules for Generalized Linear Models

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