Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern-based Clustering, and Correlation Clustering
Summary: Tutorial clarifies definitions across subspace, pattern-based, and correlation clustering in moderate-to-high dimensions. Highlights how differing formulations and assumptions across methods often address different problems rather than a single task. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Hans-Peter Kriegel (Ludwig Maximilian University of Munich)
- 2. Peer Kröger (Ludwig Maximilian University of Munich)
- 3. Arthur Zimek (Ludwig Maximilian University of Munich)
BibTeX Citation
@article{kriegel_vldb08,
title = {{Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern-based Clustering, and Correlation Clustering}},
author = {Kriegel, Hans-Peter and Kröger, Peer and Zimek, Arthur},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {1528--1531},
doi = {10.14778/1454159.1454223},
url = {https://doi.org/10.14778/1454159.1454223},
year = {2008}
}
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 304 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00021917388 |
| 1,646 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00010128564 |
| 1,833 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.6566846e-05 |
| 2,158 | What is the nearest neighbor in high dimensional spaces? | 2000 | VLDB | 9.0622995e-05 |
| 4,812 | Clustering by Pattern Similarity in Large Data Sets | 2002 | SIGMOD | 6.4980201e-05 |
| 4,856 | Computing Clusters of Correlation Connected Objects | 2004 | SIGMOD | 6.4752952e-05 |
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