In this paper, we provide an overview on the underlying response variable (URV) model-based approach to cluster and, optionally, simultaneously reduce ordinal and, optionally, continuous variables. We summarize and compare its main features discussing some key issues. An example of application to real data is illustrated comparing and discussing clustering performances.
An overview on the URV model-based approach to cluster mixed-type data / Ranalli, M.; Rocci, R.. - (2019), pp. 45-53. - STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION. [10.1007/978-3-030-21140-0_5].
An overview on the URV model-based approach to cluster mixed-type data
Ranalli M.;Rocci R.
2019
Abstract
In this paper, we provide an overview on the underlying response variable (URV) model-based approach to cluster and, optionally, simultaneously reduce ordinal and, optionally, continuous variables. We summarize and compare its main features discussing some key issues. An example of application to real data is illustrated comparing and discussing clustering performances.File allegati a questo prodotto
| File | Dimensione | Formato | |
|---|---|---|---|
|
Ranalli_overwiew_2019.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
4.5 MB
Formato
Adobe PDF
|
4.5 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
