Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings
Athens, Greece, September 5, 2011.
This collection of papers reflects what I think is rapidly becoming the consensus view: There is no one/right way to look at data.
That is important because by the application of multiple techniques, in these papers clustering techniques, you may make unanticipated discoveries about your data. Recording the trail you followed, as all explorers should, will help others duplicate your steps, to test them or to go further. In topic map terms, I would you would be discovering and identifying subjects.
Edited by
Emmanuel Müller *
Stephan Günnemann **
Ira Assent ***
Thomas Seidl **
* Karlsruhe Institute of Technology, Germany
** RWTH Aachen University, Germany
*** Aarhus University, Denmark
Complete workshop proceedings as one file (~16 MB).
Table of Contents
- Combinatorial Approaches to Clustering and Feature Selection
Michael E. Houle - Cartification: Turning Similarities into Itemset Frequencies
Bart Goethals - When Pattern Met Subspace Cluster
Jilles Vreeken, Arthur Zimek - Fast Multidimensional Clustering of Categorical Data
Tengfei Liu, Nevin L. Zhang, Kin Man Poon, Yi Wang, Hua Liu - Factorial Clustering with an Application to Plant Distribution Data
Manfred Jaeger, Simon Lyager, Michael Vandborg, Thomas Wohlgemuth - Subjectively Interesting Alternative Clusters
Tijl De Bie - Evaluation of Multiple Clustering Solutions
Hans-Peter Kriegel, Erich Schubert, Arthur Zimek - Browsing Robust Clustering-Alternatives
Martin Hahmann, Dirk Habich, Wolfgang Lehner - Generating a Diverse Set of High-Quality Clusterings
Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
Invited Talks
Research Papers