| Fuzzy cluster analysis: methods for classification, data analysis and image recognition F Höppner, F Klawonn, R Kruse, T Runkler John Wiley & Sons, 1999 | 1587 | 1999 |
| Guide to intelligent data analysis: how to intelligently make sense of real data MR Berthold, C Borgelt, F Höppner, F Klawonn Springer Science & Business Media, 2010 | 323 | 2010 |
| Discovery of temporal patterns: Learning rules about the qualitative behaviour of time series F Höppner European Conference on Principles of Data Mining and Knowledge Discovery …, 2001 | 208 | 2001 |
| What is fuzzy about fuzzy clustering? Understanding and improving the concept of the fuzzifier F Klawonn, F Höppner Advances in Intelligent Data Analysis V: 5th International Symposium on …, 2003 | 188 | 2003 |
| Fuzzy-Clusteranalyse: Verfahren für die Bilderkennung, Klassifizierung und Datenanalyse F Höppner, F Klawonn Springer-Verlag, 2013 | 133 | 2013 |
| Improved fuzzy partitions for fuzzy regression models F Höppner, F Klawonn International journal of approximate reasoning 32 (2-3), 85-102, 2003 | 130 | 2003 |
| On clustering time series using euclidean distance and pearson correlation MR Berthold, F Höppner arXiv preprint arXiv:1601.02213, 2016 | 119 | 2016 |
| Fuzzy shell clustering algorithms in image processing: fuzzy c-rectangular and 2-rectangular shells F Hoeppner IEEE Transactions on Fuzzy Systems 5 (4), 599-613, 1997 | 113 | 1997 |
| Learning temporal rules from state sequences F Höppner IJCAI Workshop on Learning from Temporal and Spatial Data 25, 2001 | 94 | 2001 |
| On exploiting the power of time in data mining M Böttcher, F Höppner, M Spiliopoulou ACM SIGKDD Explorations Newsletter 10 (2), 3-11, 2008 | 91 | 2008 |
| Finding informative rules in interval sequences F Höppner, F Klawonn International Symposium on Intelligent Data Analysis, 125-134, 2001 | 79 | 2001 |
| Time series abstraction methods–a survey F Höppner Gesellschaft für Informatik eV, 2002 | 77 | 2002 |
| Learning dependencies in multivariate time series F Höppner Proceedings of the ECAI 2, 25-31, 2002 | 70 | 2002 |
| Knowledge discovery from sequential data. F Höppner Braunschweig University of Technology, Germany, 2003 | 59 | 2003 |
| Speeding up fuzzy c-means: Using a hierarchical data organisation to control the precision of membership calculation F Höppner Fuzzy Sets and Systems 128 (3), 365-376, 2002 | 58 | 2002 |
| Finding informative rules in interval sequences F Höppner, F Klawonn Intelligent Data Analysis 6 (3), 237-255, 2002 | 58 | 2002 |
| Clustering with size constraints F Höppner, F Klawonn Computational Intelligence Paradigms: Innovative Applications, 167-180, 2008 | 56 | 2008 |
| Guide to intelligent data science MR Berthold, C Borgelt, F Höppner, F Klawonn, R Silipo Springer International Publishing, 2020 | 41 | 2020 |
| Fuzzy cluster analysis—methods for image recognition, classification, and data analysis F Höppner, F Klawonn, R Kruse, TA Runkler Wiley, 1999 | 39 | 1999 |
| What are clusters in high dimensions and are they difficult to find? F Klawonn, F Höppner, B Jayaram Clustering High--Dimensional Data: First International Workshop, CHDD 2012 …, 2015 | 35 | 2015 |
