Class ClusteringDemo

All Implemented Interfaces:
ImageObserver, MenuContainer, Serializable, Accessible, RootPaneContainer

public class ClusteringDemo extends JApplet
This simple app demonstrates how one can use our algorithms and visualization libraries in unison. In this case, we generate use the Zachary karate club data set, widely known in the social networks literature, then we cluster the vertices using an edge-betweenness clusterer, and finally we visualize the graph using Fruchtermain-Rheingold layout and provide a slider so that the user can adjust the clustering granularity.
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