Cluster Labeling for the Blogosphere
Patrick Hennig, Philipp Berger, Claus Steuer, Christia Wuerz, Christoph Meinel · 2014
Hierarchical Cluster Labeling helps users to quickly understand and analyze hierarchical clusters. This may be used to enhance search engine results or interactive browsing like it is being used in the Blog Intelligence application. The hierarchical organization of data helps to represent different levels of detail. Hierarchical clustering may be quite common, but there are few good solutions for labeling those clusters. We decided to lay the focus of this work on labeling binary hierarchical clusters. Current approaches focus either on statistical features of the clustered documents or external sources like Wikipedia. We combined those ideas to profit from both advantages and created an algorithm, that can handle clustered documents as well as terms.