This second issue of volume 6 (2012) of the journal Advances in Data Analysis and Classification (ADAC) comprises four articles which deal with dissimilarity and similarity measures for comparing dendrograms, robust clustering, orthogonal rotation in a principal component method for a mixture of qualitative and quantitative variables, and the symbolic analysis of histogram data by means of a modified interval principal component analysis (PCA). Proposed methods are usually illustrated by real-case or simulated examples

Editorial Issue 2/2012 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 6:2(2012), pp. 81-83. [10.1007/s11634-012-0109-z]

Editorial Issue 2/2012

Vichi, M
;
2012

Abstract

This second issue of volume 6 (2012) of the journal Advances in Data Analysis and Classification (ADAC) comprises four articles which deal with dissimilarity and similarity measures for comparing dendrograms, robust clustering, orthogonal rotation in a principal component method for a mixture of qualitative and quantitative variables, and the symbolic analysis of histogram data by means of a modified interval principal component analysis (PCA). Proposed methods are usually illustrated by real-case or simulated examples
2012
Classification, Clustering, Data Analysis
01 Pubblicazione su rivista::01m Editorial/Introduzione in rivista
Editorial Issue 2/2012 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 6:2(2012), pp. 81-83. [10.1007/s11634-012-0109-z]
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

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/11573/1670644
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact