A Monte Carlo Algorithm for Fast Projective Clustering
Summary: Monte Carlo algorithm for fast projective clustering, with an optimal density-based subspace formulation and high-probability guarantees. Heuristics speed computation; experiments show improved accuracy vs prior work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,162 | Computing Clusters of Correlation Connected Objects | 2004 | SIGMOD | 6.3937203e-05 |
| 4,362 | triCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data | 2005 | SIGMOD | 6.2556473e-05 |
| 5,079 | Combi-Operator – Database Support for Data Mining Applications | 2003 | VLDB | 5.7140516e-05 |
| 7,829 | CURLER: Finding and Visualizing Nonlinear Correlation Clusters | 2005 | SIGMOD | 4.6400142e-05 |
| 8,168 | Evaluating Clustering in Subspace Projections of High Dimensional Data | 2009 | VLDB | 4.5701004e-05 |
| 8,547 | Advancing Data Clustering via Projective Clustering Ensembles | 2011 | SIGMOD | 4.4937074e-05 |
| 12,571 | k-Means Projective Clustering | 2004 | PODS | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 27 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00080736878 |
| 33 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00077324389 |
| 277 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00029311426 |
| 341 | CURE: An Efficient Clustering Algorithm for Large Databases | 1998 | SIGMOD | 0.00026810548 |
| 1,595 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00011222442 |
| 1,806 | Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces | 2000 | VLDB | 0.00010490769 |
| 2,019 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.7707059e-05 |
| 2,107 | What is the nearest neighbor in high dimensional spaces? | 2000 | VLDB | 9.5330494e-05 |
| 3,475 | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering | 1999 | VLDB | 7.0614822e-05 |
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| 2,019 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.7707059e-05 |
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| 1,595 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00011222442 |
| 12,571 | k-Means Projective Clustering | 2004 | PODS | 4.1945683e-05 |
| 8,547 | Advancing Data Clustering via Projective Clustering Ensembles | 2011 | SIGMOD | 4.4937074e-05 |