Research of Heterogeneous Database Semantic Clustering Based on Fish Swarm Algorithm
Hui Feng · Computer and Digital Engineering · 2013
The heterogeneity of database on semantics has become the priorities and difficulties.In the light of heterogeneity,a clustering algorithm based on fish swarm algorithm is proposed.The idea of the algorithm is that,first put the attribute information of database to quantification,vectorization,and use the fish swarm algorithm to obtain a better clustering results.Then on this basis the FCM is applied to adjust the results.The result of the experiment shows that it has a high clustering accuracy.