Improved K-means Clustering Algorithm Based on User Tag

نویسنده

  • Jun Tang
چکیده

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.

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عنوان ژورنال:
  • JCIT

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2010