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Algorithms from and for Nature and Life

Classification and Data Analysis

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Berthold Lausen

    1. University of Essex Department of Mathematical Sciences, Colchester, United Kingdom

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  2. Dirk Van den Poel

    1. Ghent University Department of Marketing, Ghent, Belgium

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  3. Alfred Ultsch

    1. University of Marburg Databionics, FB 12, Marburg, Germany

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  • Focus on the interface between Data Analysis, Computer Science, and Operations Research
  • Cutting edge methods and results for many advanced data analysis problems
  • Applications from a wide area of application fields?
  • Includes supplementary material: sn.pub/extras

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About this book

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xx
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  2. Invited

    1. Front Matter

      Pages 1-1
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    2. Size and Power of Multivariate Outlier Detection Rules

      • Andrea Cerioli, Marco Riani, Francesca Torti
      Pages 3-17

    3. Clustering and Prediction of Rankings Within a Kemeny Distance Framework

      • Willem J. Heiser, Antonio D’Ambrosio
      Pages 19-31

    4. Solving the Minimum Sum of L1 Distances Clustering Problem by Hyperbolic Smoothing and Partition into Boundary and Gravitational Regions

      • Adilson Elias Xavier, Vinicius Layter Xavier, Sergio B. Villas-Boas
      Pages 33-46

  3. Clustering and Unsupervised Learning

    1. Front Matter

      Pages 47-47
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    2. On the Number of Modes of Finite Mixtures of Elliptical Distributions

      • Grigory Alexandrovich, Hajo Holzmann, Surajit Ray
      Pages 49-57

    3. Implications of Axiomatic Consensus Properties

      • Florent Domenach, Ali Tayari
      Pages 59-67

    4. Comparing Earth Mover’s Distance and its Approximations for Clustering Images

      • Sarah Frost, Daniel Baier
      Pages 69-78

    5. A Hierarchical Clustering Approach to Modularity Maximization

      • Wolfgang Gaul, Rebecca Klages
      Pages 79-86

    6. Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches

      • Dereje W. Gudicha, Jeroen K. Vermunt
      Pages 87-94

    7. Efficient Spatial Segmentation of Hyper-spectral 3D Volume Data

      • Jan Hendrik Kobarg, Theodore Alexandrov
      Pages 95-103

    8. Cluster Analysis Based on Pre-specified Multiple Layer Structure

      • Akinori Okada, Satoru Yokoyama
      Pages 105-113

    9. Factor PD-Clustering

      • Cristina Tortora, Mireille Gettler Summa, Francesco Palumbo
      Pages 115-123

  4. Statistical Data Analysis, Visualization and Scaling

    1. Front Matter

      Pages 125-125
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    2. Clustering Ordinal Data via Latent Variable Models

      • Damien McParland, Isobel Claire Gormley
      Pages 127-135

    3. Sentiment Analysis of Online Media

      • Michael Salter-Townshend, Thomas Brendan Murphy
      Pages 137-145

    4. Visualizing Data in Social and Behavioral Sciences: An Application of PARAMAP on Judicial Statistics

      • Ulas Akkucuk, J. Douglas Carroll, Stephen L. France
      Pages 147-154

    5. Properties of a General Measure of Configuration Agreement

      • Stephen L. France
      Pages 155-163

    6. Convex Optimization as a Tool for Correcting Dissimilarity Matrices for Regular Minimality

      • Matthias Trendtel, Ali Ãœnlü
      Pages 165-174
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Editors and Affiliations

  • University of Essex Department of Mathematical Sciences, Colchester, United Kingdom

    Berthold Lausen

  • Ghent University Department of Marketing, Ghent, Belgium

    Dirk Van den Poel

  • University of Marburg Databionics, FB 12, Marburg, Germany

    Alfred Ultsch

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