A rate of convergence in clustering analysis

Juan Romo

UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de Economía

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.

Keywords: Clustering; analysis; K-centroids; Empirical; processes; Vapnik-Cervonenkis; classes; of; functions (search for similar items in EconPapers)
Date: 1992-09
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://e-archivo.uc3m.es/rest/api/core/bitstreams ... 542358f0e9aa/content (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cte:werepe:2884

Access Statistics for this paper

More papers in UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de Economía
Bibliographic data for series maintained by Ana Poveda ().