Analysis of Different Data Standardization Forms for Fuzzy Clustering Evaluation Results´ Influence

In the basis of introduction fuzzy clustering analysis principle and calculation steps, the common application methods of the data standardization involved in standard deviation method, maximum-least method, maximum method and mean value method are discussed. Then the corresponding characteristic parameter values of the data based on different data standardization methods are compared. At last, by analyzing the spatial distribution of water resources carrying capacity of 17 regions in Shandong Province based on different data standardization forms, it can be drown the conclusions that the fuzzy clustering results based on maximum value method and mean value method of original data standardization are more reasonable than others. So in the process of original data standardization, it is better to choose maximum value method or mean value method.