The Forward Search (FS) represents a useful tool for clustering data that include outlying observations, because it provides a robust clustering method in conjunction with an outlier identification method. In this paper we propose to rephrase the FS clustering process in the framework of mixture models. Through this alternative formulation, some recent theoretical results about FS-based outlier detection in multivariate normal data can be exploited and extended to the multiple cluster setting.

Calò D. G. (2008). Some developments in forward search clustering. NAPOLI : Edizioni scientifiche italiane.

Some developments in forward search clustering

CALO', DANIELA GIOVANNA
2008

Abstract

The Forward Search (FS) represents a useful tool for clustering data that include outlying observations, because it provides a robust clustering method in conjunction with an outlier identification method. In this paper we propose to rephrase the FS clustering process in the framework of mixture models. Through this alternative formulation, some recent theoretical results about FS-based outlier detection in multivariate normal data can be exploited and extended to the multiple cluster setting.
2008
First Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society - Book of short papers
65
68
Calò D. G. (2008). Some developments in forward search clustering. NAPOLI : Edizioni scientifiche italiane.
Calò D. G.
File in questo prodotto:
Eventuali allegati, non sono esposti

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/11585/62747
 Attenzione

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

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