Data clustering for circle detection

Authors

  • Tomislav Marošević Department of Mathematics J.J. Strossmayer University of Osijek

Abstract

This paper considers multiple-circle detection problem on the basis of given data. The problem is being solved by application of center-based clustering method. For the purpose of searching a locally optimal partition, modeled on a well-known k-means algorithm, k-closest circles algorithm has been constructed. The method has been illustrated with several numerical examples.

Key words: data clustering, circle detection, k-means, locally optimal partition

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Published

2014-02-27

Issue

Section

CRORR Journal Regular Issue