Abstract:The projection pursuit cluster model (PPC) is applied to study the problem of multi-factor evaluation of slope stability. Projection pursuit can project high dimensional data to low dimensional space.Through studying the main characteristics in 1-D space,the key information in the original data can be obtained,which can be used to classify or evaluate the slope stability. In addition,with application of this method,the subjectivity of safety factors can also be effectively eliminated. The results of case study show that the analysis results are completely consistent with the actual situation,so PPC model is feasible in practice,and at the same time it provides a new approach for slope stability evaluation.