The Network Data Clustering Algorithm Based on Fuzzy Processing Model
Guang Hui Zeng · Applied Mechanics and Materials · 2014
Because the attributes of the network data become more and more complex, the useful clustering attributes are increasing greatly. The traditional network data clustering algorithm is sensitive with the initial center of the network data clustering which cause the operation efficiency of the algorithm is quite low. This paper proposes a kind of network data fast clustering algorithm based on fuzzy processing model. The algorithm solves the issue of fixed center in the traditional network data clustering algorithm. The experiment illustrates the algorithm has better clustering accuracy and the convergence speed is quickly.