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Design and Analysis of Subspace Clustering Algorithms and their Applicability
Summary: Subspace clustering in high dimensions; surveys CLIQUE, ENCLUS, PROCLUS, MAFIA; three-step workflow: identify dense subspaces, cluster via dense units, describe clusters compactly. Emphasizes efficiency (fewer passes, smaller candidate sets) and sampling-based validation, plus extensions for mixed-type data, constraints, census-style tasks, and streaming.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 8945
- Venue
- VLDB
- Year
- 2002
- Pagerank
- -
- Overall Rank
- 13,814 | 4.00%
- DOI
-
-
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