Improvement on Users Clustering Combining Association Rules with FCM
XU Ting-rong · Microelectronics & Computer · 2008
The paper performs users clustering combining association rules with FCM (Fuzzy C-Means), firstly it uses the transaction of users' accessing to construct the association matrix on pages, and calculates the similarity degree of the user access paths based on that, then it uses the FCM algorithm to perform users clustering. Lastly the experiment that is compared the method which the paper study on with the clustering in tradition shows the algorithm is effective and realistic.