Unification of some Least Squares Clustering Methods

H.M.M. Eikelder, ten; A.A. Erk, van

doi:10.1023/B:JMMA.0000036581.87064.ed

Unification of some Least Squares Clustering Methods

H.M.M. Eikelder, ten, A.A. Erk, van

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

2 Citaten (Scopus)

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We give a unifying description of several least squares clustering methods. We consider the K-means/Lloyd's algorithm, various local search based methods and clustering techniques based on neural networks. The relations between the various algorithms are explained. Also some computational results of these algorithms are given.

Originele taal-2	Engels
Pagina's (van-tot)	105-122
Tijdschrift	Journal of Mathematical Modelling and Algorithms
Volume	3
Nummer van het tijdschrift	2
DOI's	https://doi.org/10.1023/B:JMMA.0000036581.87064.ed
Status	Gepubliceerd - 2004

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10.1023/B:JMMA.0000036581.87064.ed

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Unification of some Least Squares Clustering Methods

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