We describe a class of methods that use a combination of dimension reduction and clustering. In particular, two methods for quantitative data and three for qualitative data are reviewed that will be included in an R package. A unified framework is used to underline di↵erences among the methods in question and facilitate their comparison.

Beyond tandem analysis: joint dimension reduction and clustering in R

IODICE D'ENZA, Alfonso;
2013-01-01

Abstract

We describe a class of methods that use a combination of dimension reduction and clustering. In particular, two methods for quantitative data and three for qualitative data are reviewed that will be included in an R package. A unified framework is used to underline di↵erences among the methods in question and facilitate their comparison.
File in 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/11580/57927
 Attenzione

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

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