An improvement to the DR clustering algorithm

E.J. Hill; M. Alder; C. deSilva

doi:10.1016/j.patrec.2004.09.008

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An improvement to the DR clustering algorithm

Journal article

Peer reviewed

An improvement to the DR clustering algorithm

E.J. Hill, M. Alder and C. deSilva

Pattern Recognition Letters, Vol.26(1), pp.101-107

2005

DOI: https://doi.org/10.1016/j.patrec.2004.09.008

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Abstract

We show that mapping data from a bounded region onto a toroidal surface prior to running the DR (Dog–Rabbit) clustering algorithm greatly increases the rate of success of finding all the clusters in the region.

Details

Title: An improvement to the DR clustering algorithm
Authors/Creators: E.J. Hill (Author/Creator)
M. Alder (Author/Creator)
C. deSilva (Author/Creator)
Publication Details: Pattern Recognition Letters, Vol.26(1), pp.101-107
Publisher: Elsevier B.V.
Identifiers: 991005540637507891
Murdoch Affiliation: Australian Research Centre for Medical Engineering
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
Citation topics: 9 Mathematics; 9.50 Applied Statistics & Probability; 9.50.1564 Convex Body
Web Of Science research areas: Computer Science, Artificial Intelligence
ESI research areas: Engineering