Symbolic Data Analysis has represented an important innovation in statistics since its first presentation by E. Diday in the late 80's. Most of the interest has been for the statistical analysis of Symbolic Data that represent complex data structure where variables can assume more than just a single value. Thus, Symbolic Data allow to describe classes of statistical units as a whole. Symbolic Objects are defined in terms of the relationships between two different knowledge levels. This article aims at introducing a new type of SO based on the archetypal analysis.
Archetypal Symbolic Objects / D'Esposito, MARIA ROSARIA; Palumbo, Francesco; Ragozini, Giancarlo. - ELETTRONICO. - (2010), pp. 1-8. (Intervento presentato al convegno 45th Scientific Meeting of the Italian Statistical Society. tenutosi a Padova nel 16-18 Giugno 2010).
Archetypal Symbolic Objects
D'ESPOSITO, MARIA ROSARIA;PALUMBO, FRANCESCO;RAGOZINI, GIANCARLO
2010
Abstract
Symbolic Data Analysis has represented an important innovation in statistics since its first presentation by E. Diday in the late 80's. Most of the interest has been for the statistical analysis of Symbolic Data that represent complex data structure where variables can assume more than just a single value. Thus, Symbolic Data allow to describe classes of statistical units as a whole. Symbolic Objects are defined in terms of the relationships between two different knowledge levels. This article aims at introducing a new type of SO based on the archetypal analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
