| dc.contributor.author |
Timmis, John |
|
| dc.contributor.author |
Neal, Mark |
|
| dc.date.accessioned |
2006-03-30T09:06:08Z |
|
| dc.date.available |
2006-03-30T09:06:08Z |
|
| dc.date.issued |
1999 |
|
| dc.identifier.citation |
Timmis , J & Neal , M 1999 , ' An artificial immune system for data analysis ' . |
en |
| dc.identifier.other |
PURE: 67244 |
|
| dc.identifier.other |
dspace: 2160/85 |
|
| dc.identifier.uri |
http://hdl.handle.net/2160/85 |
|
| dc.description |
Timmis J and Neal M J. An artificial immune system for data analysis. In Proceedings of 3rd international workshop on information processing in cells and tissues (IPCAT), Indianapolis, U.S.A., 1999. |
en |
| dc.description.abstract |
We present a simplified view of those parts of the human immune system which can be used to provide the basis for a data analysis tool. The motivation for and reasoning behind such a model is given and the desire for a 'transparent' model and meaningful visualization and interpretation techniques is noted. A minimalist formulation of an artificial immune system and some of its behaviour is described. A simple implementation and a suitable visualization technique are demonstrated using some trivial data and the famous 'iris' data set. |
en |
| dc.language.iso |
eng |
|
| dc.subject |
Visualisation |
en |
| dc.subject |
Artificial immune system |
en |
| dc.subject |
Self organising |
en |
| dc.subject |
Immune network |
en |
| dc.subject |
Cluster analysis |
en |
| dc.subject |
Unsupervised machine learning |
en |
| dc.title |
An artificial immune system for data analysis |
en |
| dc.type |
Text |
en |
| dc.type.publicationtype |
Conference contribution |
en |
| dc.contributor.institution |
Department of Computer Science |
en |
| dc.contributor.institution |
Intelligent Robotics Group |
en |
| dc.description.status |
Non peer reviewed |
en |