Analysis of Structural Relationships for Hierarchical Cluster Labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. In our work we integrate hierarchical information, i.e. sibling and parent-child relations, in the cluster labeling process.
K-Means and Fuzzy K-Means Clustering Demos
Illustrations and vizualisations of the K-Means and Fuzzy K-Means as well as the HAC algorithm.
InfoSky is capable of visualising the DMOZ computers hierarchy with over 100.000 documents and 10.000 classes.