On the surprising behavior of distance metrics in high dimensional space CC Aggarwal, A Hinneburg, DA Keim Database theory—ICDT 2001: 8th international conference London, UK, January …, 2001 | 3017 | 2001 |
Exploring the space of topic coherence measures M Röder, A Both, A Hinneburg Proceedings of the eighth ACM international conference on Web search and …, 2015 | 2439 | 2015 |
An efficient approach to clustering in large multimedia databases with noise A Hinneburg, DA Keim Bibliothek der Universität Konstanz 98, 58-65, 1998 | 2022 | 1998 |
What is the nearest neighbor in high dimensional spaces? A Hinneburg, CC Aggarwal, DA Keim | 816 | 2000 |
Optimal grid-clustering: Towards breaking the curse of dimensionality in high-dimensional clustering A Hinneburg, DA Keim | 600 | 1999 |
Denclue 2.0: Fast clustering based on kernel density estimation A Hinneburg, HH Gabriel International symposium on intelligent data analysis, 70-80, 2007 | 381 | 2007 |
HD-Eye: Visual mining of high-dimensional data A Hinneburg, DA Keim, M Wawryniuk IEEE Computer Graphics and Applications 19 (5), 22-31, 1999 | 216 | 1999 |
A general approach to clustering in large databases with noise A Hinneburg, DA Keim Knowledge and information systems 5, 387-415, 2003 | 213 | 2003 |
Evaluating topic coherence measures F Rosner, A Hinneburg, M Röder, M Nettling, A Both arXiv preprint arXiv:1403.6397, 2014 | 128 | 2014 |
Topic evolution in a stream of documents A Gohr, A Hinneburg, R Schult, M Spiliopoulou Proceedings of the 2009 SIAM international conference on data mining, 859-870, 2009 | 127 | 2009 |
Dimension induced clustering A Gionis, A Hinneburg, S Papadimitriou, P Tsaparas Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 83 | 2005 |
Clustering techniques for large data sets—from the past to the future DA Keim, A Hinneburg Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 75 | 1999 |
Database theory—ICDT 2001 CC Aggarwal, A Hinneburg, DA Keim, J Van den Bussche, V Vianu On the surprising behavior of distance metrics in high dimensional space …, 2001 | 68 | 2001 |
How to handle small samples: bootstrap and Bayesian methods in the analysis of linguistic change A Hinneburg, H Mannila, S Kaislaniemi, T Nevalainen, ... Literary and linguistic computing 22 (2), 137-150, 2007 | 55 | 2007 |
Analyzing large-scale proteomics projects with latent semantic indexing S Klie, L Martens, JA Vizcaíno, R Côté, P Jones, R Apweiler, A Hinneburg, ... Journal of proteome research 7 (01), 182-191, 2008 | 46 | 2008 |
Combi-Operator—Database Support for Data Mining Applications A Hinneburg, D Habich, W Lehner Proceedings 2003 VLDB Conference, 429-439, 2003 | 38 | 2003 |
Clustering methods for large databases: From the past to the future A Hinneburg, DA Keim Proceedings of the 1999 ACM SIGMOD international conference on Management of …, 1999 | 32 | 1999 |
TopicExplorer: Exploring document collections with topic models A Hinneburg, R Preiss, R Schröder Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 28 | 2012 |
Qualitative Textanalyse mit Topic-Modellen C Papilloud, A Hinneburg Springer Fachmedien Wiesbaden, 2018 | 27 | 2018 |
Multiresolution similarity search in image databases M Heczko, A Hinneburg, D Keim, M Wawryniuk Multimedia systems 10, 28-40, 2004 | 24 | 2004 |