| 161 |
LOF: Identifying Density-Based Local Outliers |
2000 |
SIGMOD |
0.00039846974 |
| 662 |
A Framework for Clustering Evolving Data Streams |
2003 |
VLDB |
0.00018475968 |
| 961 |
DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation |
2015 |
SIGMOD |
0.00015001792 |
| 1,126 |
Trajectory Clustering: A Partition-and-Group Framework |
2007 |
SIGMOD |
0.00013821443 |
| 2,281 |
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data |
2001 |
SIGMOD |
9.1077704e-05 |
| 3,264 |
Dynamic Density Based Clustering |
2017 |
SIGMOD |
7.3094408e-05 |
| 3,295 |
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning |
2018 |
SIGMOD |
7.2598552e-05 |
| 3,480 |
CSV: Visualizing and Mining Cohesive Subgraphs |
2008 |
SIGMOD |
7.0538737e-05 |
| 4,162 |
Computing Clusters of Correlation Connected Objects |
2004 |
SIGMOD |
6.3937203e-05 |
| 4,485 |
Parallel Index-Based Structural Graph Clustering and Its Approximation |
2021 |
SIGMOD |
6.1458149e-05 |
| 4,683 |
ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects |
2008 |
SIGMOD |
6.0010961e-05 |
| 4,823 |
YADING: Fast Clustering of Large-Scale Time Series Data |
2015 |
VLDB |
5.8956566e-05 |
| 5,276 |
The 3W Model and Algebra for Unified Data Mining |
2000 |
VLDB |
5.5905507e-05 |
| 5,417 |
Theoretically-Efficient and Practical Parallel DBSCAN |
2020 |
SIGMOD |
5.5194222e-05 |
| 5,757 |
Mining Significant Semantic Locations From GPS Data |
2010 |
VLDB |
5.3396286e-05 |
| 5,760 |
Outlier-robust Clustering using Independent Components |
2008 |
SIGMOD |
5.3382727e-05 |
| 5,894 |
Fast Euclidean OPTICS with Bounded Precision in Low Dimensional Space |
2018 |
SIGMOD |
5.2864259e-05 |
| 5,996 |
A New Sparse Data Clustering Method Based On Frequent Items |
2023 |
SIGMOD |
5.2415551e-05 |
| 6,093 |
Density-based Place Clustering in Geo-Social Networks |
2014 |
SIGMOD |
5.2131159e-05 |
| 6,799 |
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering |
2004 |
SIGMOD |
4.9232394e-05 |
| 6,883 |
C2P: Clustering based on Closest Pairs |
2001 |
VLDB |
4.8960306e-05 |
| 7,480 |
Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms |
2024 |
SIGMOD |
4.7180617e-05 |
| 7,608 |
Clustering Objects on a Spatial Network |
2004 |
SIGMOD |
4.6967024e-05 |
| 7,829 |
CURLER: Finding and Visualizing Nonlinear Correlation Clusters |
2005 |
SIGMOD |
4.6400142e-05 |
| 8,838 |
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering |
2001 |
SIGMOD |
4.438882e-05 |
| 9,068 |
A Framework for Projected Clustering of High Dimensional Data Streams |
2004 |
VLDB |
4.4034035e-05 |
| 9,122 |
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects |
2003 |
SIGMOD |
4.3922853e-05 |
| 9,156 |
Time2State: An Unsupervised Framework for Inferring the Latent States in Time Series Data |
2023 |
SIGMOD |
4.3849295e-05 |
| 9,368 |
An Efficient Algorithm for Distance-based Structural Graph Clustering |
2023 |
SIGMOD |
4.3481263e-05 |
| 9,924 |
On Saving Outliers for Better Clustering over Noisy Data |
2021 |
SIGMOD |
4.2544238e-05 |
| 10,305 |
Schuyler: Self-Supervised Clustering of Tables in Relational Databases |
2026 |
VLDB |
4.1945683e-05 |
| 10,309 |
CLaP - State Detection from Time Series |
2026 |
VLDB |
4.1945683e-05 |
| 10,624 |
Evaluating Methods for Efficient Entity Count Estimation |
2025 |
VLDB |
4.1945683e-05 |
| 10,739 |
Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods |
2025 |
VLDB |
4.1945683e-05 |
| 11,045 |
Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization |
2024 |
VLDB |
4.1945683e-05 |
| 11,185 |
FINEX: A Fast Index for Exact & Flexible Density-Based Clustering |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,219 |
F3 KM: Federated, Fair, and Fast k-means |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,463 |
PyExplore: Query Recommendations for Data Exploration without Query Logs |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,466 |
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,477 |
Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering* |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,741 |
MustaCHE: A Multiple Clustering Hierarchies Explorer |
2018 |
VLDB |
4.1945683e-05 |
| 12,622 |
A Shrinking-Based Approach for Multi-Dimensional Data Analysis |
2003 |
VLDB |
4.1945683e-05 |
| 12,623 |
Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces |
2003 |
VLDB |
4.1945683e-05 |