Davoud Moulavi
Title
Cited by
Cited by
Year
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
9012013
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
3962015
Density-Based Clustering Validation
D Moulavi, PA Jaskowiak, RJGB Campello, A Zimek, J Sander
1322014
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 (3), 344-371, 2013
722013
Advances in knowledge discovery and data mining
R Campello, D Moulavi, J Sander, J Pei, VS Tseng, L Cao, H Motoda, ...
Lecture Notes in Computer Science 7819, 2013
332013
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
322015
Model Selection for Semi-Supervised Clustering
M Pourrajabi, D Moulavi, RJGB Campello, A Zimek, J Sander, R Goebel
182014
Advances in knowledge discovery and data mining: 6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002: proceedings
MS Chen, PS Yu
Conference proceedings PAKDD, 681, 2002
12*2002
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
112012
Pacific-Asia Conference on Knowledge Discovery and Data Mining
RJ Campello, D Moulavi, J Sander
Springer, 2013
92013
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
72012
Finding, evaluating and exploring clustering alternatives unsupervised and semi-supervised
D Moulavi
52014
The system can't perform the operation now. Try again later.
Articles 1–12