Professional paper

Data clustering

Kristian Sabo ; Odjel za matematiku,Sveučilište J. J. Strossmayera u Osijeku, Osijek, Hrvatska
Rudolf Scitovski ; Odjel za matematiku,Sveučilište J. J. Strossmayera u Osijeku, Osijek, Hrvatska
Ivan Vazler ; Odjel za matematiku,Sveučilište J. J. Strossmayera u Osijeku, Osijek, Hrvatska

Abstract

In this paper we consider a clustering problem for a data-points set
$\mathcal{A}$ into disjoint nonempty subsets - clusters, whereby
it is assumed that elements of the set $\mathcal{A}$ are determined by
one or two characteristics. Least square criteria and least absolute deviation criteria are used for
solving the problem. A number of examples illustrating differences
between these criteria are given. Corresponding software support is
developed for the purpose of facilitating scientific or professional
work by using this methodology and approach.

Keywords

clusters; arithmetic mean; median; optimization

Hrčak ID:

66979

URI

https://hrcak.srce.hr/66979

Publication date:

19.4.2011.

Article data in other languages: croatian

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