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Conference Paper (published)

Analysis of Unsupervised Clustering by Crossing Minimization

Details

Citation

Abdullah A & Hussain A (2004) Analysis of Unsupervised Clustering by Crossing Minimization. In: Smith L, Hussain A & Aleksander I (eds.) Brain Inspired Cognitive Systems 2004, 29 August - 1 September 2004, ÍæÅ¼½ã½ã, Scotland, UK. Brain Inspired Cognitive Systems - BICS2004, ÍæÅ¼½ã½ã, UK, 29.08.2004-01.09.2004. ÍæÅ¼½ã½ã, Scotland: ÍæÅ¼½ã½ã, pp. 27-28. http://www.cs.stir.ac.uk/~lss/BICS2004/CD/bookofabstracts.pdf

Abstract
It was demonstrated for the first time that crossing minimization of bipartite graphs can be used to perform unsupervised clustering. In this paper, we present a detailed analysis of the bipartite graph model used to perform unsupervised clustering. We also discuss the effect of data discretization, followed by simulation results which demonstrate the noise immunity of the proposed technique. Finally we use the proposed technique to discover useful hidden patterns in real agriculture data.

StatusPublished
Publication date31/12/2004
Publication date online30/09/2004
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PublisherÍæÅ¼½ã½ã
Publisher URL
Place of publicationÍæÅ¼½ã½ã, Scotland
ISBN1 85769 199 7
ConferenceBrain Inspired Cognitive Systems - BICS2004
Conference locationÍæÅ¼½ã½ã, UK
Dates¨C