Between Data Science and Applied Data Analysis

Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002

ISBN: 978-3-540-40354-8 (Print) 978-3-642-18991-3 (Online)

Table of contents (77 chapters)

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  1. Front Matter

    Pages I-XIII

  2. Clustering and Discrimination

    1. Front Matter

      Pages 1-1

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      Pages 3-12

      Robust Classification Through the Forward Search

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      Pages 13-21

      Fitting and Smoothing Properties of Length Constrained Smoothers Applied to Time Series

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      Pages 22-29

      Interaction Terms in Non-linear PLS via Additive Spline Transformation

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      Pages 30-38

      Discriminant Analysis With Categorical Variables: A Biplot Based Approach

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      Pages 39-48

      Efficient Density Clustering Using Basin Spanning Trees

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      Pages 49-56

      Some Issues on Clustering of Functional Data

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      Pages 57-64

      Scalable Clustering of High Dimensional Data

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      Pages 65-73

      Methods to Combine Classification Trees

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      Pages 74-82

      Core-Based Clustering Techniques

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      Pages 83-91

      Combining Regression Trees and Radial Basis Function Networks in Longitudinal Data Modelling

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      Pages 92-99

      Implementing a new Method for Discriminant Analysis When Group Covariance Matrices are Nearly Singular

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      Pages 100-108

      Two Approaches for Discriminant Partial Least Squares

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      Pages 109-117

      Improving the Classification Performance of a Discriminant Rule by Dealing With Data Cases Having a Substantial Influence on Variable Selection

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      Pages 118-126

      Classification and Clustering of Vocal Performances

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      Pages 127-130

      Cluster- and Discriminant Analysis With Both Metric and Categorial Data

  3. Data Analysis and Statistics

    1. Front Matter

      Pages 131-131

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      Pages 133-142

      Multivariate Mixture Models Estimation: A Genetic Algorithm Approach

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      Pages 143-154

      Two-Way Clustering for Contingency Tables: Maximizing a Dependence Measure

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      Pages 155-164

      Localised Mixtures of Experts for Mixture of Regressions

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      Pages 165-172

      A Bayesian Approach for the Estimation of the Covariance Structure of Separable Spatio-Temporal Stochastic Processes

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      Pages 173-181

      An Algorithm for the HICLAS-R Model

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