Regional Economic Evaluation Based on a Novel Fuzzy Clustering Method in Big Data
Zhaohui Liu, Liyan Li, Wenjing Xu · International Journal of Database Theory and Application · 2014
Cloud computing, Internet of things, social networks and other new services make human society's data type and size increase at unprecedented rates.In order to analyze and make use of the huge data resources, the effective data analysis technique needed to be used.Thus, an optimized fuzzy clustering method GAPSO-FCM is proposed in this paper.The GA and PSO algorithm is adopted in order to overcome FCM be sensitive to initial value and noise problems and easy to fall into local minimum value.The combination of PSO and GA algorithm can partly solve the problem that is easy to appear premature phenomenon to PSO algorithm.It improves the global search ability by combining GAPSO algorithm and FCM algorithm.At last, the algorithm is used to analyze the comprehensive economic strength of cities in the Yangtze River Delta.