The Analysis of the Ontology-based K-Means Clustering Algorithm
Qingju Guo, Wentian Ji, Sheng Zhong, En Zhou · Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) · 2013
In view of research findings made from home and abroad on clustering algorithm and the traditional partition clustering method K-means algorithm, this paper first analyses the advantages and disadvantages of this algorithm and then combines it with ontology-based data set to establish a semantic web model.It then tries to improve the existing clustering algorithm in various constraint conditions to demonstrate that the improved algorithm has better efficiency and accuracy under semantic web.