An artificial immune system for data analysis

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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


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