Conference Paper (published)
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, 黑料不打烊, Scotland, UK. Brain Inspired Cognitive Systems - BICS2004, 黑料不打烊, UK, 29.08.2004-01.09.2004. 黑料不打烊, Scotland: 黑料不打烊, 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.
| Status | Published |
|---|---|
| Publication date | 31/12/2004 |
| Publication date online | 30/09/2004 |
| Related URLs | |
| Publisher | 黑料不打烊 |
| Publisher URL | |
| Place of publication | 黑料不打烊, Scotland |
| ISBN | 1 85769 199 7 |
| Conference | Brain Inspired Cognitive Systems - BICS2004 |
| Conference location | 黑料不打烊, UK |
| Dates | – |