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Note: Links lead to the DBLP on the Web. Alexander Hinneburg 10 Alexander Hinneburg, Daniel A. Keim , Markus Wawryniuk : HD-Eye: Visual Clustering of High Dimensional Data. SIGMOD Conference 2002 9 Charu C. Aggarwal , Alexander Hinneburg, Daniel A. Keim : On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001 : 420-434 8 Alexander Hinneburg, Daniel A. Keim , Wolfgang Brandt : Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. BIBE 2000 : 43-49 7 Alexander Hinneburg: High Dimensional Clustering on Large Data Sets. EDBT PhD Workshop 2000 6 Alexander Hinneburg, Charu C. Aggarwal , Daniel A. Keim : What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000 : 506-515 5 Daniel A. Keim , Alexander Hinneburg: Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1 (2): 117 (2000) 4 Daniel A. Keim , Alexander Hinneburg: Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999 : 141-181 3 Alexander Hinneburg, Daniel A. Keim : Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999 : 509 2 Alexander Hinneburg, Daniel A. Keim : Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999 : 506-517 1 Alexander Hinneburg, Daniel A. Keim : An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998 : 58-65  DiSC'02 © 2003 Association for Computing Machinery |
