An artificial immune system for data analysis

Jon Timmis*, Mark Neal, John Hunt

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

351 Citations (SciVal)


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.

Original languageEnglish
Pages (from-to)143-150
Number of pages8
Issue number1-3
Publication statusPublished - Feb 2000


  • Artificial immune system
  • Cluster analysis
  • Immune network
  • Self organising
  • Unsupervised machine learning
  • Visualisation
  • T-Lymphocytes/immunology
  • Humans
  • Antigen-Antibody Reactions
  • B-Lymphocytes/immunology
  • Immune System
  • Models, Biological
  • Antibody Formation
  • Immunity, Cellular


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