Data Analysis, Classification and the Forward Search

Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005

  • Sergio Zani
  • Andrea Cerioli
  • Marco Riani
  • Maurizio Vichi

Table of contents

  1. Front Matter
    Pages I-XI
  2. Clustering and Discrimination

  3. Multidimensional Data Analysis and Multivariate Statistics

    1. Front Matter
      Pages 67-67
    2. Pier Alda Ferrari, Paola Annoni
      Pages 85-92
    3. Michele Gallo, Pietro Amenta, Lnigi D’Ambra
      Pages 93-101
    4. Crescenzio Gallo, Giancarlo de Stasio
      Pages 103-110
    5. Salvatore Ingrassia, Roberto Rocci
      Pages 111-118
    6. Annarita Roscino, Alessio Pollice
      Pages 135-142

About these proceedings


This volume contains revised versions of selected papers presented at the biennial meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, which was held in Parma, June 6-8, 2005. Sergio Zani chaired the Scientific Programme Committee and Andrea Cerioli chaired the Local Organizing Committee. The scientific programme of the conference included 127 papers, 42 in spe­ cialized sessions, 68 in contributed paper sessions and 17 in poster sessions. Moreover, it was possible to recruit five notable and internationally renowned invited speakers (including the 2004-2005 President of the International Fed­ eration of Classification Societies) for plenary talks on their current research work. Among the specialized sessions, two were organized by Wolfgang Gaul with five talks by members of the GfKl (German Classification Society), and one by Jacqueline J. Meulman (Dutch/Flemish Classification Society). Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussion and mutual exchange of knowledge. The topics of all plenary and specialized sessions were chosen to fit, in the broadest possible sense, the mission of CLADAG, the aim of which is "to further methodological, computational and applied research within the fields of Classification, Data Analysis and Multivariate Statistics". A peer-review refereeing process led to the selection of 46 extended papers, which are contained in this book.


Generalized linear model Multivariate statistics Sage Time series algorithms clustering communication complexity data analysis expectation–maximization algorithm information modeling multidimensional scaling service-oriented computing

Editors and affiliations

  • Sergio Zani
    • 1
  • Andrea Cerioli
    • 1
  • Marco Riani
    • 1
  • Maurizio Vichi
    • 2
  1. 1.Department of Economics Section of Statistics and ComputingUniversity of ParmaParmaItaly
  2. 2.Department of Statistics, Probability and Applied StatisticsUniversity of Rome “La Sapienza”RomaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-35977-7
  • Online ISBN 978-3-540-35978-4
  • Series Print ISSN 1431-8814
  • About this book