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Ant Colony clustering algorithm
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Ant colony clustering algorithm is a kind of swarm intelligence algorithm which is based on the research of the formation principle of ant colony. The main idea of LF ant colony clustering algorithm is: the data objects to be clustered are randomly placed in a two-dimensional region, and the artificial ants move randomly in the two-dimensional region. Each ant decides the probability of picking up or putting down the data object according to the similarity degree between the data object and the local environment. The higher the similarity degree is, the smaller the probability of picking up is, and the smaller the probability of putting down is The results show that it interacts with its neighbors in the neighborhood. After a certain number of iterations, the ant colony joint action causes the objects belonging to the same category to gather together in the same spatial region, realizing the self-organizing clustering process.
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