In order to determine the slope stability of open-pit mine effectively from available statistical data, this paper proposes a discriminant analysis model based on Principal Component Analysis (PCA) and Fisher discriminant analysis. The 6 discriminant indices which affect the slope stability of open-pit mine including gravity density of rocks, cohesion force, internal friction angle, slope angle, slope height and pore water pressure were reduced into 3 comprehensive indices including the first, second and third principal components by PCA to eliminate the mutual influence of the discriminant indices and avoid miscalculation due to different index dimensions. Then, a discriminant analysis model for slope stability was formulated by Fisher discriminant analysis which has no special requirements for data distribution. The back substitution method was used to test the model. The results of training and discrimination for 32 training samples and 7 pending samples show that this method can discriminate accurately and it can be a new method to discriminate the slope stability of open-pit mine. Compared with others, this method can improve the accuracy of discriminant analysis. [ABSTRACT FROM AUTHOR]
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