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In this paper, first of all, the optimal FCM algorithm was used to classify the economic development level of each sub-region. Secondly, the principal component analysis method was employed to comprehensively score and rank the economic development level of each sub-region. Thirdly, based on the classification and ranking, the differences in regional economic development were analyzed. Taking the economic disparities of western provinces as an example, the research showed that this algorithm could effectively comprehensively analyze the economic development disparities of western provinces and well reflect the characteristics of economic development of each province. Therefore, it was an improved and feasible method for analyzing the differences in economic development level of sub-regions within a large region.

Analysis of Regional Differences in Technological Innovation Based on Principal Component Distance Weighting Algorithm and FCM Algorithm