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Fast Algorithms for Projected Clustering
Summary: Projected clustering in high-dimensional data: clusters live in cluster-specific subspaces instead of a single global feature set. Introduces a general algorithmic framework to discover these subspaces and assign points accordingly, with evaluation on synthetic data.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 3089
- Venue
- SIGMOD
- Year
- 1999
- Pagerank
- 0.00011210688
- Overall Rank
- 1,596 | 88.91%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,375 |
SQLEM: Fast Clustering in SQL using the EM Algorithm |
2000 |
SIGMOD |
0.00012321024 |
| 1,802 |
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces |
2000 |
VLDB |
0.0001048177 |
| 2,099 |
What is the nearest neighbor in high dimensional spaces? |
2000 |
VLDB |
9.5429949e-05 |
| 3,381 |
A Monte Carlo Algorithm for Fast Projective Clustering |
2002 |
SIGMOD |
7.1538392e-05 |
| 4,125 |
Computing Clusters of Correlation Connected Objects |
2004 |
SIGMOD |
6.4248096e-05 |
| 4,333 |
LinkClus: Efficient Clustering via Heterogeneous Semantic Links |
2006 |
VLDB |
6.273124e-05 |
| 4,357 |
triCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data |
2005 |
SIGMOD |
6.251058e-05 |
| 4,549 |
Outlier Detection for High Dimensional Data |
2001 |
SIGMOD |
6.0866685e-05 |
| 4,818 |
Clustering by Pattern Similarity in Large Data Sets |
2002 |
SIGMOD |
5.8955574e-05 |
| 7,835 |
CURLER: Finding and Visualizing Nonlinear Correlation Clusters |
2005 |
SIGMOD |
4.6355641e-05 |
| 8,473 |
Evaluating Clustering in Subspace Projections of High Dimensional Data |
2009 |
VLDB |
4.4985288e-05 |
| 8,544 |
Advancing Data Clustering via Projective Clustering Ensembles |
2011 |
SIGMOD |
4.4893996e-05 |
| 9,067 |
A Framework for Projected Clustering of High Dimensional Data Streams |
2004 |
VLDB |
4.3991821e-05 |
| 12,048 |
Interactive Data Mining with 3D-Parallel-Coordinate-Trees |
2013 |
SIGMOD |
4.1905499e-05 |
| 12,387 |
Constrained Locally Weighted Clustering |
2008 |
VLDB |
4.1905499e-05 |
| 12,417 |
Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern-based Clustering, and Correlation Clustering |
2008 |
VLDB |
4.1905499e-05 |
| 12,580 |
k-Means Projective Clustering |
2004 |
PODS |
4.1905499e-05 |
| 12,631 |
A Shrinking-Based Approach for Multi-Dimensional Data Analysis |
2003 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| Overall Rank |
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Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications |
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What is the nearest neighbor in high dimensional spaces? |
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Advancing Data Clustering via Projective Clustering Ensembles |
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Design and Analysis of Subspace Clustering Algorithms and their Applicability |
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Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern-based Clustering, and Correlation Clustering |
2008 |
VLDB |
4.1905499e-05 |
| 9,067 |
A Framework for Projected Clustering of High Dimensional Data Streams |
2004 |
VLDB |
4.3991821e-05 |
| 12,580 |
k-Means Projective Clustering |
2004 |
PODS |
4.1905499e-05 |
| 8,473 |
Evaluating Clustering in Subspace Projections of High Dimensional Data |
2009 |
VLDB |
4.4985288e-05 |
| 2,023 |
Finding Generalized Projected Clusters in High Dimensional Spaces |
2000 |
SIGMOD |
9.7586371e-05 |