Immune Network Algorithms

On this page, you will find a collection of practical examples that demonstrate how to use the Immune Network Algorithm classes implemented in our package.

Run notebooks online via Binder:

AiNet (Artificial Immune Network)

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• Random datasets

In this notebook AiNet is demonstrated on three synthetic datasets:

• Blobs: well-defined spherical clusters, easy to separate.
• Moons: non-linear clusters, illustrating more complex decision boundaries.
• Circles: two concentric circles, showing the capability of handling non-linear separation.

• geyser_dataBase_example

To classify geyser eruptions in Yellowstone National Park, this notebook uses the Old Faithful database.