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Advances in Classification and Data Analysis

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Simone Borra

    1. Department SEFEMEQ, University of Rome “Tor Vergata”, Rome, Italy

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  2. Roberto Rocci

    1. Department SEGeS, University of Molise, Campobasso, Italy

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  3. Maurizio Vichi

    1. Department Statistica, Probabilità e Statistiche Applicate, University of Rome “La Sapienza”, Rome, Italy

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  4. Martin Schader

    1. University of Mannheim, Mannheim, Germany

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  • New developments in classification and multivariate analysis
  • New methodologies and algorithms with applications

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Table of contents (45 papers)

  1. Front Matter

    Pages I-X
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  2. Classification and Multidimentional Scaling

    1. Front Matter

      Pages 1-1
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    3. Discriminant Analysis

      1. Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection
        • Francesco Palumbo
        Pages 53-60
      2. The Effect of Telephone Survey Design on Discriminant Analysis
        • Alessandra Petrucci, Monica Pratesi
        Pages 61-68

    4. Proximity Structures Analysis and Multidimensional Scaling

      1. A Dissimilarity Measure between Probabilistic Symbolic Objects
        • Laura Bocci
        Pages 69-76
      2. Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances
        • Sergio Camiz, Georges Le Calvé
        Pages 77-84
      3. Comparing Capital Structure through Similarity Analysis: Evidence about two Industrial Districts
        • Fabrizio Cipollini, Piero Ganugi
        Pages 85-92
      4. The Geometric Approach to the Comparison of Multivariate Time Trajectories
        • Renato Coppi, Pierpaolo D’Urso
        Pages 93-100
      5. Ultramine Spaces in Classification
        • Donatella Vicari
        Pages 101-108

    5. Genetic Algorithms and Neural Networks

      1. Genetic Algorithms and Clustering: an Application to Fisher’s Iris Data
        • Roberto Baragona, Claudio Calzini, Francesco Battaglia
        Pages 109-118
      2. Using Radial Basis Function Networks for Classification Problems
        • Isabella Morlini
        Pages 119-126
      3. Unconditional Latent Budget Analysis: a Neural Network Approach
        • Roberta Siciliano, Ab Mooijaart
        Pages 127-134

  3. Multivariate Data Analysis

    1. Front Matter

      Pages 135-135
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    2. Factorial methods

      1. Generalized Constrained Principal Component Analysis
        • Pietro Amenta, Luigi D’Ambra
        Pages 137-144
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Keywords

About this book

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers presented in four parts as follows: CLASSIFICATION AND MULTIDIMENSIONAL SCALING Cluster analysis Discriminant analysis Proximity structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis CASE STUDIES INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America - CSNA; Gesellschaft fUr Klassifikation - GfKI; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - CGSIS; Societe Francophone de Classification -SFC. Now the IFCS includes also the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Society -SKAD; Associayao Portuguesa de Classificayao e Analise de Dados -CLAD; Korean Classification Society -KCS; Group-at-Large.

Editors and Affiliations

  • Department SEFEMEQ, University of Rome “Tor Vergata”, Rome, Italy

    Simone Borra

  • Department SEGeS, University of Molise, Campobasso, Italy

    Roberto Rocci

  • Department Statistica, Probabilità e Statistiche Applicate, University of Rome “La Sapienza”, Rome, Italy

    Maurizio Vichi

  • University of Mannheim, Mannheim, Germany

    Martin Schader

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