Asymptotics of k-mean clustering under non-i.i.d. sampling

The asymptotic theory of k-mean clustering is extended to stationary mixing processes, both [sigma]-mixing and strong-mixing. In addition, a consistency result is obtained for non-identically distributed independent observations.

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Year of publication:	1995
Authors:	Serinko, Regis J. ; Babu, Gutti Jogesh
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 24.1995, 1, p. 57-66
Publisher:	Elsevier
Keywords:	Bahadur's representation Singular Hessian Non-identically distributed Stationary mixing processes Strong consistency Weak limits

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005319381