Improved K-means Clustering Algorithm Based on User Tag
Jun Tang · Journal of Convergence Information Technology · 2010
This paper proposed improved K-means clustering algorithm based on user tag. It first used social annotation data to expand the vector space model of K-means. Then, it applied the links involved in social tagging network to enhance the clustering performance. Experimental result shows that the proposed improved K-means clustering algorithm based on user tag is effective.