Improved K-medoids Clustering Algorithm under Semantic Web
Wentian Ji, Qingju Guo, Sheng Zhong, En Ze Zhou · Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) · 2013
K-medoids clustering algorithm is highly efficient in classifying cluster categories.Based on algorithm analysis and selection improvement of centre point K, this paper sets up a web model of ontology data set object.It tries to demonstrate through experiment evaluation that the improved algorithm can greatly enhance the accuracy of clustering results under semantic web.