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 | 2613 | 2013 |
Hierarchical density estimates for data clustering, visualization, and outlier detection R Campello, D Moulavi, A Zimek, J Sander ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 5, 2015 | 857 | 2015 |
Density-Based Clustering Validation D Moulavi, PA Jaskowiak, RJGB Campello, A Zimek, J Sander | 332 | 2014 |
Advances in knowledge discovery and data mining R Campello, D Moulavi, J Sander, J Pei, VS Tseng, L Cao, H Motoda, ... Berlin, Heidelberg, 160-172, 2013 | 150 | 2013 |
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies RJGB Campello, D Moulavi, A Zimek, J Sander Data Mining and Knowledge Discovery 27, 344-371, 2013 | 92 | 2013 |
On Strategies for Building Effective Ensembles of Relative Clustering Validity Criteria. PA Jaskowiak, D Moulavi, AC Furtado, A ZIMEK, J Sander, ... Knowledge and Information Systems., 2015 | 40 | 2015 |
Advances in Knowledge Discovery and Data Mining ed J. Pei et al R Campello, D Moulavi, J Sander Berlin: Springer, 2013 | 36 | 2013 |
Model Selection for Semi-Supervised Clustering M Pourrajabi, D Moulavi, RJGB Campello, A Zimek, J Sander, R Goebel | 28 | 2014 |
Combining gene expression and interaction network data to improve kidney lesion score prediction D Moulavi, M Hajiloo, J Sander, PF Halloran, R Greiner International Journal of Bioinformatics Research and Applications 8 (1-2), 54-66, 2012 | 11 | 2012 |
A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data RJGB Campello, D Moulavi, J Sander IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (6 …, 2012 | 7 | 2012 |
Finding, evaluating and exploring clustering alternatives unsupervised and semi-supervised D Moulavi | 6 | 2014 |