Data Analysis and Classification

Proceedings of the 6th Conference of the Classification and Data Analysis Group of the SocietàItaliana di Statistica

ISBN: 978-3-642-03738-2 (Print) 978-3-642-03739-9 (Online)

Table of contents (53 chapters)

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  1. Front Matter

    Pages i-xxii

  2. Key-note

    1. Front Matter

      Pages 1-1

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      Book Chapter

      Pages 3-11

      Clustering of High-Dimensional and Correlated Data

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      Pages 13-21

      Statistical Methods for Cryptography

  3. Cluster Analysis

    1. Front Matter

      Pages 24-24

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      Pages 25-32

      An Algorithm for Earthquakes Clustering Based on Maximum Likelihood

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      Pages 33-40

      A Two-Step Iterative Procedure for Clustering of Binary Sequences

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      Pages 41-48

      Clustering Linear Models Using Wasserstein Distance

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      Book Chapter

      Pages 49-57

      Comparing Approaches for Clustering Mixed Mode Data: An Application in Marketing Research

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      Pages 59-66

      The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics

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      Pages 67-75

      Visualization of Model-Based Clustering Structures

  4. Multivariate Analysis and Application

    1. Front Matter

      Pages 78-78

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      Book Chapter

      Pages 79-84

      Models for Asymmetry in Proximity Data

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      Pages 85-91

      Intimate Femicide in Italy: A Model to Classify How Killings Happened

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      Pages 93-100

      Two-Dimensional Centrality of Asymmetric Social Network

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      Pages 101-109

      The Forward Search for Classical Multidimensional Scaling When the Starting Data Matrix Is Known

  5. Multivariate Analysis and Application

    1. Front Matter

      Pages 112-112

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      Book Chapter

      Pages 113-120

      Discriminant Analysis on Mixed Predictors

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      Pages 121-128

      A Statistical Calibration Model for Affymetrix Probe Level Data

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      Pages 129-135

      A Proposal to Fuzzify Categorical Variables in Operational Risk Management

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      Pages 137-144

      Common Optimal Scaling for Customer Satisfaction Models: A Point to Cobb–Douglas’ Form

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      Book Chapter

      Pages 145-153

      Structural Neural Networks for Modeling Customer Satisfaction

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      Book Chapter

      Pages 155-162

      Dimensionality of Scores Obtained with a Paired-Comparison Tournament System of Questionnaire Items

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      Book Chapter

      Pages 163-169

      Using Rasch Measurement to Assess the Role of the Traditional Family in Italy

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      Book Chapter

      Pages 171-178

      Preserving the Clustering Structure by a Projection Pursuit Approach

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