摘要：The process of dividing a collection of physical orabstract objects into multiple classes of similar objects is calledclustering. Bat algorithm is a new swarm intelligentoptimization algorithm, which is proposed to simulate theforaging behavior of bats and their echolocation ability. The batalgorithm is adopted to solve the data clustering problem andthe efficient parameters setting on the bat algorithm is carriedout the related research on the pulse rate and pulse loudness.The simulation experiment results show that the reasonablesetting parameters can improve the performance of the batalgorithm on the clustering problem.
关键词：clustering; bat algorithm; parameter;optimization
