Hybrid Ant Swarm-Based Data Clustering

2021 IEEE World AI IoT Congress (AIIoT)(2021)

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Abstract
Biologically inspired computing techniques are very effective and useful in many areas of research including data clustering. Ant clustering algorithm is a nature-inspired clustering technique which is extensively studied for over two decades. In this study, we extend the ant clustering algorithm (ACA) to a hybrid ant clustering algorithm (hACA). Specifically, we include a genetic algorithm in sta...
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Key words
Clustering algorithms,Benchmark testing,Bio-inspired computing,Standards,Genetic algorithms
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