Evaluating Clustering in Subspace Projections of High Dimensional Data
Summary: Systematic benchmark of subspace clustering in high-dimensional data. Evaluates paradigms under a common framework; addresses ground-truth absence, varied metrics, and cross-paradigm comparison; provides real/synthetic datasets and repeatable baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Emmanuel Müller
- 2. Stephan Günnemann
- 3. Ira Assent
- 4. Thomas Seidl
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,652 | On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection | 2021 | VLDB | 6.0228549e-05 |
| 13,519 | CoDA: Interactive Cluster Based Concept Discovery | 2010 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 181 | Mining Frequent Patterns without Candidate Generation | 2000 | SIGMOD | 0.00036992674 |
| 277 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00029311426 |
| 1,595 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00011222442 |
| 2,019 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.7707059e-05 |
| 3,376 | A Monte Carlo Algorithm for Fast Projective Clustering | 2002 | SIGMOD | 7.1630476e-05 |
| 7,187 | LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures | 2006 | VLDB | 4.8059196e-05 |
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