A clustering view on ESS measures of political interest: an EM-MML approach

Silvestre, Cláudia; Cardoso, Margarida; Figueiredo, Mário

Publication

A clustering view on ESS measures of political interest: an EM-MML approach

2017-03Conference object

dc.contributor.author	Silvestre, Cláudia
dc.contributor.author	Cardoso, Margarida
dc.contributor.author	Figueiredo, Mário	pt_PT
dc.date.accessioned	2017-12-12T15:11:47Z
dc.date.available	2017-12-12T15:11:47Z
dc.date.issued	2017-03
dc.description.abstract	In this work, we perform the clustering of European regions, based on their citizens’ political interests and electoral participation, as expressed in data from the two most recent European Social Surveys (ESS) - 2012 (round 6) and 2014 (round 7). We resort to a new clustering approach, named EM-MML, which clusters categorical data and simultaneously determines the number of clusters. Clustering is applied to sets of questions referring to whether the citizens were involved in “different ways of trying to improve things in their country or help prevent things from going wrong” – e.g., signed a petition or worked in a political organisation or association. The results of the EM-MML approach are compared with results from the classical EM approach combined with several information criteria. EM-MML approach provides more parsimonious and robust solutions than those obtained by standard EM and it is also faster than the other methods considered, which is especially relevant when dealing with large data sets.	en
dc.description.version	N/A	pt_PT
dc.identifier.citation	SILVESTRE, Cláudia; CARDOSO, Margarida; FIGUEIREDO, Mário - A clustering view on ESS measures of political interest: an EM-MML approach. In: New Techniques and Technologies for Statistics: NTTS 2017, Bruxelas, Bélgica, 2017 (14 a 16 de março)	pt_PT
dc.identifier.uri	http://hdl.handle.net/10400.21/7689
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	Eurostat	pt_PT
dc.relation.publisherversion	https://ec.europa.eu/eurostat/cros/ntts2017programme/data/sessions/session_24.html	en
dc.relation.publisherversion	https://ec.europa.eu/eurostat/cros/ntts2017programme/data/abstracts/abstract_77.html	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	pt_PT
dc.subject	Official statistics	en
dc.subject	Categorical data	en
dc.subject	Clustering	en
dc.subject	EM-MML algorithm	en
dc.subject	European Social Survey	en
dc.subject	Finite mixture models	en
dc.title	A clustering view on ESS measures of political interest: an EM-MML approach	en
dc.type	conference object
dspace.entity.type	Publication
oaire.citation.conferencePlace	Bruxelas, Bélgica	pt_PT
oaire.citation.title	New Techniques and Technologies for Statistics: NTTS 2017	pt_PT
person.familyName	Silvestre
person.givenName	Cláudia
person.identifier.ciencia-id	DA12-EF3F-C7CD
person.identifier.orcid	0000-0002-8850-4304
rcaap.rights	openAccess	pt_PT
rcaap.type	conferenceObject	pt_PT
relation.isAuthorOfPublication	08fbc1bf-3387-4137-8c03-c4664dd43375
relation.isAuthorOfPublication.latestForDiscovery	08fbc1bf-3387-4137-8c03-c4664dd43375