| Density-based clustering based on hierarchical density estimates RJGB Campello, D Moulavi, J Sander Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 2467 | 2013 |
| A survey of evolutionary algorithms for clustering ER Hruschka, RJGB Campello, AA Freitas, ACPLF De Carvalho Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2009 | 905 | 2009 |
| 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, 1-37, 2016 | 834 | 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 | 815 | 2015 |
| Relative clustering validity criteria: A comparative overview L Vendramin, RJGB Campello, ER Hruschka Statistical Analysis and Data Mining 3 (4), 209-235, 2010 | 442 | 2010 |
| A fuzzy extension of the silhouette width criterion for cluster analysis R Campello, ER Hruschka Fuzzy Sets and Systems 157 (21), 2858-2875, 2006 | 364 | 2006 |
| 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 | 342 | 2014 |
| Density-based clustering validation D Moulavi, PA Jaskowiak, R Campello, A Zimek, J Sander Proceedings of the 14th SIAM International Conference on Data Mining (SDM …, 2014 | 318 | 2014 |
| A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment RJGB Campello Pattern Recognition Letters 28 (7), 833-841, 2007 | 242 | 2007 |
| 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 | 238 | 2013 |
| Evolving clusters in gene-expression data ER Hruschka, RJGB Campello, LN De Castro Information Sciences 176 (13), 1898-1927, 2006 | 218 | 2006 |
| On the Selection of appropriate distances for gene expression data clustering PA Jaskowiak, RJGB Campello, IG Costa BMC Bioinformatics 15 (Suppl 2), S2, 2014 | 206 | 2014 |
| On the comparison of relative clustering validity criteria L Vendramin, R Campello, ER Hruschka Proceedings of the SIAM International Conference on Data Mining, SIAM, 733-744, 2009 | 174 | 2009 |
| A systematic comparative evaluation of biclustering techniques VA Padilha, RJGB Campello BMC bioinformatics 18, 1-25, 2017 | 164 | 2017 |
| Optimal Expansions of Discrete-Time Volterra Models using Laguerre Functions RJGB Campello, G Favier, WC Amaral IFAC Symposium on System Identification, 1844-1849, 2003 | 159 | 2003 |
| Efficiency issues of evolutionary k-means MC Naldi, RJGB Campello, ER Hruschka, A Carvalho Applied Soft Computing 11 (2), 1938-1952, 2011 | 158 | 2011 |
| Density‐based clustering RJGB Campello, P Kröger, J Sander, A Zimek Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020 | 151 | 2020 |
| Optimal expansions of discrete-time Volterra models using Laguerre functions RJGB Campello, G Favier, WC Do Amaral Automatica 40 (5), 815-822, 2004 | 149 | 2004 |
| Evolutionary algorithms for clustering gene-expression data ER Hruschka, LN de Castro, RJGB Campello Data Mining, 2004. ICDM'04. Fourth IEEE International Conference on, 403-406, 2004 | 110 | 2004 |
| Collaborative fuzzy clustering algorithms: Some refinements and design guidelines LFS Coletta, L Vendramin, ER Hruschka, RJGB Campello, W Pedrycz IEEE Transactions on Fuzzy Systems 20 (3), 444-462, 2012 | 102 | 2012 |
