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

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

1 Downloads (Pure)

Abstract

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.

Original language	English
Pages (from-to)	105-122
Journal	Journal of Mathematical Modelling and Algorithms
Volume	3
Issue number	2
DOIs	https://doi.org/10.1023/B:JMMA.0000036581.87064.ed
Publication status	Published - 2004

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title = "Unification of some Least Squares Clustering Methods",

abstract = "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.",

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DO - 10.1023/B:JMMA.0000036581.87064.ed

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JO - Journal of Mathematical Modelling and Algorithms

JF - Journal of Mathematical Modelling and Algorithms

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Unification of some Least Squares Clustering Methods

Abstract

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