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Fundamental prospective research has become increasingly important for modern enterprises to maintain the vitality and the momentum of development at present. Extracting the success factors of international advanced enterprises in this field by common characteristics mining and analysis can provide reference for other enterprises. In order to reach this aim, this paper constructs the index system with two aspects: enterprise scale and R&D situation, and builds the corresponding clustering evolution matrices based on the hierarchical clustering method. The similarity degrees between the matrices of these two aspects are calculated in different indexes selections after the adjustment of matrices by pattern best-matching algorithm. And by comparison of the similarity degrees, common characteristics of fundamental prospective research of international advanced enterprises can be discovered.

Common Characteristics Analysis of International Advanced Enterprises Fundamental Prospective Based on Clustering Evolution Analysis