KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks

Stephan Günnemann, Hardy Kremer, Matthias Hannen +1

Analyzing high dimensional data is a challenging task. For these data it is known that traditional clustering algorithms fail to detect meaningful patterns. As a solution, subspace…