Research on Bird Habitat Discovery Based on DBSCAN Algorithm

Jianxi Zhang, Zengzhen Shao · 2018

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.

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