Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
anomaly detection algorithm
|
| gptkbp:citation |
highly cited
Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000). LOF: Identifying Density-Based Local Outliers. ACM SIGMOD Record, 29(2), 93–104. |
| gptkbp:developedBy |
gptkb:Raymond_T._Ng
gptkb:Hans-Peter_Kriegel gptkb:Jörg_Sander gptkb:Markus_M._Breunig |
| gptkbp:hasConcept |
local density deviation
|
| https://www.w3.org/2000/01/rdf-schema#label |
LOF (Local Outlier Factor)
|
| gptkbp:implementedIn |
gptkb:ELKI
gptkb:scikit-learn |
| gptkbp:input |
multidimensional data
|
| gptkbp:measures |
degree of outlierness
|
| gptkbp:output |
outlier score
|
| gptkbp:parameter |
number of neighbors (k)
|
| gptkbp:powers |
detects local outliers
|
| gptkbp:publishedIn |
ACM SIGMOD 2000
|
| gptkbp:relatedTo |
gptkb:DBSCAN
k-nearest neighbors |
| gptkbp:supportsAlgorithm |
unsupervised learning
|
| gptkbp:usedFor |
outlier detection
novelty detection |
| gptkbp:weakness |
computationally expensive for large datasets
sensitive to parameter selection |
| gptkbp:bfsParent |
gptkb:Hans-Peter_Kriegel
|
| gptkbp:bfsLayer |
7
|