Data Science

Innovative Developments in Data Analysis and Clustering

  • Francesco Palumbo
  • Angela Montanari
  • Maurizio Vichi
Conference proceedings

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Classification Methods for High Dimensional Data

  3. Clustering Methods and Applications

  4. Multivariate Methods and Applications

    1. Front Matter
      Pages 189-189
    2. Eva Boj, Teresa Costa, Josep Fortiana
      Pages 191-204
    3. Stefania Capecchi, Rosaria Simone, Domenico Piccolo
      Pages 205-217
    4. Francesca Di Salvo, Marcello Chiodi, Pietro Patricola
      Pages 219-230
    5. Elaine Fehrman, Awaz K. Muhammad, Evgeny M. Mirkes, Vincent Egan, Alexander N. Gorban
      Pages 231-242
    6. Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński
      Pages 243-258
    7. Odysseas Moschidis, Theodore Chadjipadelis
      Pages 285-294
    8. Luisa Stracqualursi, Patrizia Agati
      Pages 333-342

About these proceedings


This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.


data science clustering data analysis classification classification methods for high-dimensional data clustering methods and applications multivariate statistical methods and applications

Editors and affiliations

  • Francesco Palumbo
    • 1
  • Angela Montanari
    • 2
  • Maurizio Vichi
    • 3
  1. 1.Department of Political SciencesUniversity of Naples Federico IINapoliItaly
  2. 2.Department of Statistical Sciences Paolo FortunatiAlma Mater Studiorum, University of BolognaBolognaItaly
  3. 3.Department of Statistical SciencesSapienza University of RomeRomeItaly

Bibliographic information

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