The Application Research of FCM Clustering Based on Genetic Algorithm in the Telephone User’s Behavior

Telecom user behavior analysis, is that in the case of gaining the basic consumption data of the users to disposal, count, and analyze the relevant data, and discover the law of the users consumption from it, and combine these laws with the telecom marketing strategies to find the problems in the current marketing campaign which will provide the basis for the design of the scientific decision-making, specific marketing and cross-selling program. Fuzzy C-Means Clustering Algorithm is a method of data mining, and also an algorithm of fuzzy set analysis theory which based on the soft partition. The FCM Clustering Algorithm is easily falling into local minimum. However, the Genetic Algorithm has ability of global optimization, so it is very reasonable to combine the genetic algorithm with FCM Clustering Algorithm into the Telecom user behavior analysis. This paper will combine the Genetic Algorithm with FCM Clustering Algorithm and use MATLAB to analyze the feasibility of the algorithm.