The Application of Spectral Clustering Algorithm of Graph Partition in Checking Text Mining of Command Ticket System
Due to the different contents of command tickets in the power dispatching system,a method is proposed to improve the accuracy of ticket contents.The method is divided into different types according to the contents of the command ticket,in-troduces bipartite graph model to analyze the relationship between each group,uses the Laplacian matrix in the spectral cluste-ring algorithm to obtain the feature vectors and data points of the matrix,and complete the dimension feature dataset to check the text mining results.The experimental results show that the mining accuracy of the proposed method is above 80％,the highest time is only 19.5 ms,and stability of the mining time remains above 80％,which meets the needs of power enterprises.
万方数据
维普
