We visualize a a web server log by means of multidimensional scaling. To that end, a so-called dissimilarity metric is introduced in the sets of sessions and pages respectively. We interpret the resulting visualizations and find some interesting patterns.

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Persistent URL hdl.handle.net/1765/7146
Azaria, J., van Wezel, M.C., & Pijls, W.H.L.M.. (2005). Visualizing clickstream data with multidimensional scaling (No. EI 2005-51). Report / Econometric Institute, Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/7146