不确定PAHT聚类算法在滑坡危险性预测上的应用.

In the clustering study of landslide prediction, the difficulties of determining the number of clusters which traditional clustering algorithm needs to set in advance and accurately measuring the important factor of landslide induced-rainfall leads to had prediction effect. Therefore, this paper proposed a new clustering algorithm-uncertain PAHT algorithm. The algorithm introduced a kind of uncertain data model called M-D distance, which effectively measured the uncertain rainfall; and based on the hierarchical clustering thinking, through finding the best threshold p* to determine the k value. Contrast experiment in Yan’ an Baota district as an example, the experimental results verify the effectiveness of uncertain M-D distance and PAHT algorithm and the feasibility of uncertain PAHT algorithm on the landslide hazard prediction. [ABSTRACT FROM AUTHOR]