Invited Speakers
- Adi Ben-Israel, Rutgers University, USA on
Probabilistic Distance Clustering
Friday, July 18, 11:20–12:00, Room 5
- Gilles Bisson, La Tronche, France on
Clustering of Molecules and Structured Data
Thursday, July 17, 09:00–09:40, Room 3
- Gilles Celeux, INRIA, France on
Choosing the Number of Clusters in the Latent Class Model
Thursday, July 17, 15:55–16:35, Room 5
- Patrick Groenen, University Rotterdam, The Netherlands on
Support Vector Machines in the Primal using Majorization and Kernels
Thursday, July 17, 09:00–09:40, Room 5
- Fred Hamprecht, University Heidelberg, Germany on
Segmentation of Neural Tissue
Wednesday, July 16, 11:00–11:40, Room 3
- Tagashi Imaizumi, Tama University Tokyo, Japan on
Dimensionality Reduction of Similarity Matrix
Friday, July 18, 11:20–12:00, Room 3
- Sabine Krolak-Schwerdt, University Wuppertal, Germany on
Strategies of Model Construction for the Analysis of Judgment Data
Thursday, July 17, 15:55–16:35, Room 3
- Geoff McLachlan, University of Brisbane, Australia on
Clustering of High-Dimensional Data Via Finite Mixture Models
Wednesday, July 16, 11:00–11:40, Room 5
- Fred R. McMorris, Illinois Institute of Technology, USA on
Majority-rule Consensus: From Preferences (Social Choice) to Trees (Biology and Classication Theory)
Friday, July 18, 13:15–14:00, Room 5
- Francesco Palumbo, University of Macerata, Italy on
Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data
Friday, July 18, 09:00–09:40, Room 5
- Walter Radermacher, President Federal Statistical Office of Germany, Wiesbaden, Germany on
Statistical Processes Under Change – Enhancing Data Quality with Pretests
Wednesday, July 16, 10:00–10:45, Room 5
- Bernhard Schölkopf, Max-Planck-Institute, Tübingen, Germany on
Machine Learning Applications of Positive Definite Kernels
Wednesday, July 16, 14:00–14:45, Room 5
- Raimund Wildner, GfK, Nürnberg, Germany on
Management and methods: How to do market segmentation projects
Friday, July 18, 09:00–09:40, Room 3