A Survey on k-Means: An Approach for Improved Web Site Structure

Development of websites to facilitate effective user navigation is the challenging task observed these days. Because the way web developers think and design the system is quite different from that of the user. Different methods have been projected to re-link WebPages in order to recover navigability using user direction-finding data. The fully reorganized emerging structure can be highly impulsive, and the cost of disorienting users after the changes remains unanalyzed. The proposed system presents architecture to cluster the usage statistics of all the users to re-link WebPages. The re-ordering or reforming will mostly be based on clusters generated. Hence an optimal selection of clusters is significant step in implementation of the system. Hence system uses an enhanced K means clustering algorithm where in the number of clusters (optimal) can be routinely designed and clusters are generated consequently. The system also develops a arithmetical programming model to recover the user navigation on a website. The system is imagined the deliver the functionality of a test bench website for data collection and then reorder it based on statistics collected to present the effectiveness of our model.