A method of bird damage risk assessment based on K-Means clustering

In order to effectively prevent and control bird damage, this paper proposes a bird damage risk assessment method based on K-Means clustering algorithm. Analyze the corrected historical data of bird damage in a certain area, historical data mainly includes the tower type, the environmental information of the location of the tower and the surrounding environment information, build a data set, using the K-Means clustering algorithm to process and analysis data, finally the classification of the sample can be obtained, which serves as the basis for the classification of bird hazards in the area.