A rate of convergence in clustering analysis

Publication:
A rate of convergence in clustering analysis

dc.affiliation.dpto	UC3M. Departamento de Economía	es
dc.contributor.author	Romo, Juan
dc.contributor.editor	Universidad Carlos III de Madrid. Departamento de Economía
dc.date.accessioned	2008-09-01T07:45:43Z
dc.date.available	2008-09-01T07:45:43Z
dc.date.issued	1992-09
dc.description.abstract	We present a result about stochastic boundedness of stable empirical processes on Vapnik-Cervonenkis classes of functions and we apply it to obtain a rate of convergence for the approximation between the sample and the populational variation in the k-centroids problem in clustering analysis.
dc.format.mimetype	application/pdf
dc.identifier.issn	2340-5031
dc.identifier.uri	https://hdl.handle.net/10016/2884
dc.language.iso	eng
dc.relation.ispartofseries	Working Papers
dc.relation.ispartofseries	1992-36
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRights	open access
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.eciencia	Economía
dc.subject.other	Clustering analysis
dc.subject.other	K-centroids
dc.subject.other	Empirical processes
dc.subject.other	Vapnik-Cervonenkis classes of functions
dc.title	A rate of convergence in clustering analysis
dc.type	working paper	*
dspace.entity.type	Publication