LOF: Identifying Density-Based Local Outliers
Summary: Introduces Local Outlier Factor (LOF), a density-based, local, continuous score for how isolated an object is relative to its neighborhood. Formal analysis shows key properties; experiments on real data show LOF detects meaningful outliers missed by binary methods and remains practical. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Markus M. Breunig
- 2. Hans-Peter Kriegel
- 3. Raymond T. Ng
- 4. Jörg Sander
Incoming Citations (Sorted by Pagerank)
Showing 10 of 60 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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