In this project, we set out to recreate and expand upon Ant Miner, the Ant Colony Algorithm (ACA) for data classification originally proposed by Parpinelli et al. Specifically, they propose a method of using an ACA in order to discover rules that best discriminate between different classes present in a dataset based on measurable attributes. See our final report for more details.
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An agent based model (ant colony algorithm) used to classify sets of data
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