Aiming at the complex management of large amount of aviation spares with complex specifications, introduced a spares classification method based on principal component clustering analysis. Based on traditional index of classification and characteristic of spare, establish a new aviation spares classification index system. According to index set, use principal component clustering analysis method to reduce dimensions. Adopt SPSS software system clustering method to carry out clustering analysis and get aviation spares integrated clustering. The simulation results show that the method can reduce data redundancy and the clustering results is objective and reasonable.