A density-based algorithm for discovering clusters in large spatial databases with noise M Ester, HP Kriegel, J Sander, X Xu kdd 96 (34), 226-231, 1996 | 32887 | 1996 |
LOF: identifying density-based local outliers MM Breunig, HP Kriegel, RT Ng, J Sander Proceedings of the 2000 ACM SIGMOD international conference on Management of …, 2000 | 10079 | 2000 |
OPTICS: Ordering points to identify the clustering structure M Ankerst, MM Breunig, HP Kriegel, J Sander ACM Sigmod record 28 (2), 49-60, 1999 | 6390 | 1999 |
DBSCAN revisited, revisited: why and how you should (still) use DBSCAN E Schubert, J Sander, M Ester, HP Kriegel, X Xu ACM Transactions on Database Systems (TODS) 42 (3), 1-21, 2017 | 2377 | 2017 |
Density-based clustering based on hierarchical density estimates RJGB Campello, D Moulavi, J Sander Pacific-Asia conference on knowledge discovery and data mining, 160-172, 2013 | 2276 | 2013 |
Density-based clustering in spatial databases: The algorithm gdbscan and its applications J Sander, M Ester, HP Kriegel, X Xu Data mining and knowledge discovery 2, 169-194, 1998 | 2110 | 1998 |
Density‐based clustering HP Kriegel, P Kröger, J Sander, A Zimek Wiley interdisciplinary reviews: data mining and knowledge discovery 1 (3 …, 2011 | 1185 | 2011 |
Incremental generalization for mining in a data warehousing environment M Ester, R Wittmann Advances in Database Technology—EDBT'98: 6th International Conference on …, 1998 | 820 | 1998 |
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ... Data mining and knowledge discovery 30, 891-927, 2016 | 800 | 2016 |
Hierarchical density estimates for data clustering, visualization, and outlier detection RJGB Campello, D Moulavi, A Zimek, J Sander ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 1-51, 2015 | 762 | 2015 |
A distribution-based clustering algorithm for mining in large spatial databases X Xu, M Ester, HP Kriegel, J Sander Proceedings 14th International Conference on Data Engineering, 324-331, 1998 | 593 | 1998 |
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96) M Ester, HP Kriegel, J Sander, X Xu, E Simoudis, J Han, U Fayyad A density‐based algorithm for discovering clusters in large spatial …, 1996 | 509 | 1996 |
Spatial data mining: A database approach M Ester, HP Kriegel, J Sander Advances in Spatial Databases: 5th International Symposium, SSD'97 Berlin …, 1997 | 442 | 1997 |
Knowledge discovery in databases: Techniken und Anwendungen M Ester, J Sander Springer-Verlag, 2013 | 390 | 2013 |
Ensembles for unsupervised outlier detection: challenges and research questions a position paper A Zimek, RJGB Campello, J Sander Acm Sigkdd Explorations Newsletter 15 (1), 11-22, 2014 | 336 | 2014 |
Optics-of: Identifying local outliers MM Breunig, HP Kriegel, RT Ng, J Sander Principles of Data Mining and Knowledge Discovery: Third European Conference …, 1999 | 328 | 1999 |
Density-based spatial clustering of applications with noise M Ester, HP Kriegel, J Sander, X Xu Int. Conf. knowledge discovery and data mining 240 (6), 1996 | 295 | 1996 |
Density-based clustering validation D Moulavi, PA Jaskowiak, RJGB Campello, A Zimek, J Sander Proceedings of the 2014 SIAM international conference on data mining, 839-847, 2014 | 292 | 2014 |
Independent quantization: An index compression technique for high-dimensional data spaces S Berchtold, C Bohm, HV Jagadish, HP Kriegel, J Sander Proceedings of 16th International Conference on Data Engineering (Cat. No …, 2000 | 286 | 2000 |
Subsampling for efficient and effective unsupervised outlier detection ensembles A Zimek, M Gaudet, RJGB Campello, J Sander Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 229 | 2013 |