Play-Persona: Modeling Player Behaviour in Computer Games

populated middle-left cluster (Fig. 3), a number of six clusters can be obtained within a small
difference of the squared Euclidian distance: the difference between the minimum T for obtaining 4
clusters and the maximum T for obtaining 6 clusters equals 0.52. This initial cluster analysis
provides the first insights into the spatial structure of the data, which reveals the existence of a
small number of clusters in the dataset. The procedure followed through k-means and Ward’s
clustering is viewed as necessary data pre-processing before learning from data via self-
organization.
Fig. 3. Clustering of data using the Ward dendrogram method. A T value of 4.5 (illustrated with a horizontal black line)
reveals 4 clusters.
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