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Research on Bird Habitat Discovery Based on DBSCAN Algorithm

机译:基于DBSCAN算法的鸟类栖息地发现研究

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摘要

Bird activity has a close relationship with human life and has attracted an increasing attention. However, it has encountered many problems such as great limitations on research methods, low data utilization rate, statistics-focused and ineffective data processing and so on. In this paper, a new algorithm to find bird habitat based on DBSCAN algorithm-migration pattern mining (MPM) algorithm is proposed. Results show that MPM algorithm can deal with data efficiently and has the ability to find habitats of migratory birds scientifically.
机译:鸟类活动与人类生活息息相关,受到越来越多的关注。但是,它遇到了很多问题,例如研究方法的局限性,数据利用率低,以统计为重点和无效的数据处理等。提出了一种基于DBSCAN算法-迁移模式挖掘(MPM)算法的鸟类栖息地寻找新算法。结果表明,MPM算法可以有效处理数据,具有科学寻找候鸟栖息地的能力。

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