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Toward Perception-based Evaluation of Clustering Techniques for Visual Analytics

M. Aupetit, M. Sedlmair, M. Abbas, A. Baggag, and H. Bensmail. Proceedings of the IEEE Visualization Conference (VIS), page 141-145. IEEE, (2019)
DOI: 10.1109/VISUAL.2019.8933620

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Michael Böhm

Michael Funk

Hon. -Prof. Dr. -Ing. Michael Bauer University of Stuttgart

Dr. Michael Wachowsky University of Stuttgart

Dr. phil. Michael Nerurkar University of Stuttgart

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Learning topology of a labeled data set with the supervised generative gaussian graph.P. Gaillard, M. Aupetit, and G. Govaert. ESANN, page 235-240. (2007)Mapping without visualizing local default is nonsense.S. Lespinats, and M. Aupetit. ESANN, (2010)Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning.A. Wismüller, M. Verleysen, M. Aupetit, and J. Lee. ESANN, (2010)Visualizing distortions in continuous projection techniques.M. Aupetit. ESANN, page 465-470. (2004)Robust Topology Representing Networks.M. Aupetit. ESANN, page 45-50. (2003)Extraction des nombres de Betti avec un modèle génératif.M. Maillot, M. Aupetit, and G. Govaert. EGC, volume RNTI-E-24 of Revue des Nouvelles Technologies de l'Information, page 97-102. Hermann-Éditions, (2013)Concerning the differentiability of the energy function in vector quantization algorithmsD. Lepetz, M. Némoz-Gaillard, and M. Aupetit. CoRR, (2006)The Human User in Progressive Visual Analytics.L. Micallef, H. Schulz, M. Angelini, M. Aupetit, R. Chang, J. Kohlhammer, A. Perer, and G. Santucci. EuroVis (Short Papers), page 19-23. Eurographics Association, (2019)A multidimensional brush for scatterplot data analytics.M. Aupetit, N. Heulot, and J. Fekete. IEEE VAST, page 221-222. IEEE Computer Society, (2014)High-dimensional labeled data analysis with topology representing graphs.M. Aupetit, and T. Catz. Neurocomputing, (2005)