This third issue volume 9 (2015) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: a biplot procedure after clustering objects and variables; an extension of classical principal component analysis to the case of non-linear reconstruction formulas (auto-associative models); a nonparametric fast and very robust new classifier, named DDα -classifier; and a clustering methodology for financial time series; finally a diffusion model for churn prediction based on sociometric theory.

Editorial for issue 3 2015 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 9:3(2015), pp. 239-241. [10.1007/s11634-015-0214-x]

Editorial for issue 3 2015

Vichi, M
;
2015

Abstract

This third issue volume 9 (2015) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: a biplot procedure after clustering objects and variables; an extension of classical principal component analysis to the case of non-linear reconstruction formulas (auto-associative models); a nonparametric fast and very robust new classifier, named DDα -classifier; and a clustering methodology for financial time series; finally a diffusion model for churn prediction based on sociometric theory.
2015
data analysis; classification; journal
01 Pubblicazione su rivista::01m Editorial/Introduzione in rivista
Editorial for issue 3 2015 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 9:3(2015), pp. 239-241. [10.1007/s11634-015-0214-x]
File allegati a questo prodotto
File Dimensione Formato  
Vichi_editorial_2015.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 75.92 kB
Formato Adobe PDF
75.92 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1670612
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact