Archivio Istituzionale della RicercaBinary unsupervised classification of n units based on a set of r binary items is considered. Classical results on likelihood ratio based procedures are revisited and discussed, together with some recent results. Hard assignment is considered, as opposed to the soft assignment preferred by the latent class (or mixture) authors.
ROC curves with binary multivariate data / Sacchetto, Lidia; Gasparini, Mauro. - ELETTRONICO. - (2019), pp. 420-423. (Intervento presentato al convegno CLADAG 2019 tenutosi a Cassino nel 11 - 13 September 2019).
ROC curves with binary multivariate data
Lidia Sacchetto;Mauro Gasparini
2019
Abstract
Binary unsupervised classification of n units based on a set of r binary items is considered. Classical results on likelihood ratio based procedures are revisited and discussed, together with some recent results. Hard assignment is considered, as opposed to the soft assignment preferred by the latent class (or mixture) authors.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
CLADAG2019_SACCHETTO_GASPARINI.pdf
non disponibili
Descrizione: Short paper
Tipologia:
1. Preprint / submitted version [pre- review]
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
113.42 kB
Formato
Adobe PDF
|
113.42 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
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/11583/2782499