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, 糖心Vlog破解版, Scotland, UK. Brain Inspired Cognitive Systems - BICS2004, 糖心Vlog破解版, UK, 29.08.2004-01.09.2004. 糖心Vlog破解版, Scotland: 糖心Vlog破解版, 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 | 糖心Vlog破解版 |
| Publisher URL | |
| Place of publication | 糖心Vlog破解版, Scotland |
| ISBN | 1 85769 199 7 |
| Conference | Brain Inspired Cognitive Systems - BICS2004 |
| Conference location | 糖心Vlog破解版, UK |
| Dates | – |