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.
| Original language | English |
|---|---|
| Pages (from-to) | 143-150 |
| Number of pages | 8 |
| Journal | BioSystems |
| Volume | 55 |
| Issue number | 1-3 |
| DOIs | |
| Publication status | Published - Feb 2000 |
Keywords
- 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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