Data Analysis and Classification

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

  • Francesco Palumbo
  • Carlo Natale Lauro
  • Michael J. Greenacre
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Key-note

    1. Front Matter
      Pages 1-1
    2. Geoffrey J. McLachlan, Shu-Kay Ng, K. Wang
      Pages 3-11
    3. Alfredo Rizzi
      Pages 13-21
  3. Cluster Analysis

    1. Front Matter
      Pages 24-24
    2. Giada Adelfio, Marcello Chiodi, Dario Luzio
      Pages 25-32
    3. Francesco Palumbo, A. Iodice D’Enza
      Pages 33-40
    4. Antonio Irpino, Rosanna Verde
      Pages 41-48
  4. Multivariate Analysis and Application

    1. Front Matter
      Pages 78-78
    2. Giuseppe Bove
      Pages 79-84
    3. Front Matter
      Pages 112-112
    4. Rafik Abdesselam
      Pages 113-120
    5. Luigi Augugliaro, Angelo M. Mineo
      Pages 121-128
    6. Concetto Elvio Bonafede, Paola Cerchiello
      Pages 129-135

About these proceedings

Introduction

The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects.

Keywords

Cluster analysis Item Latent variable model Measure Projection pursuit Time series clustering data analysis multidimensional scaling

Editors and affiliations

  • Francesco Palumbo
    • 1
  • Carlo Natale Lauro
    • 2
  • Michael J. Greenacre
    • 3
  1. 1.Fac. EconomiaUniversità MacerataMacerataItaly
  2. 2.Dipto. Matematica e StatisticaUniversità Federico II di NapoliNapoliItaly
  3. 3.Depto. Economía y EmpresaUniversitat Pompeu FabraBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03739-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-03738-2
  • Online ISBN 978-3-642-03739-9
  • Series Print ISSN 1431-8814