In this paper we propose an extension of Factor PD-clustering for simultaneous classification of rows and columns of frequency matrices extracted from large textual datasets. The aim is to extract information from documents usually produced and that are not used because of their special nature. The work is carried out within the European project BLUE-ETS, which aims to provide tools for the construction of robust and high quality official statistics for businesses.
Factor PD-Co-clustering in Official Statistics / Marino, Marina; Scepi, Germana; Tortora, Cristina. - (2012), pp. 2382-2386. (Intervento presentato al convegno XLVI Riunione SIS tenutosi a La sapienza- Roma nel 20-22 Giugno).
Factor PD-Co-clustering in Official Statistics
MARINO, MARINA;SCEPI, GERMANA;TORTORA, CRISTINA
2012
Abstract
In this paper we propose an extension of Factor PD-clustering for simultaneous classification of rows and columns of frequency matrices extracted from large textual datasets. The aim is to extract information from documents usually produced and that are not used because of their special nature. The work is carried out within the European project BLUE-ETS, which aims to provide tools for the construction of robust and high quality official statistics for businesses.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
