Hybrid Ant Swarm-Based Data Clustering
2021 IEEE World AI IoT Congress (AIIoT)(2021)
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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