Please enable JavaScript.
Coggle requires JavaScript to display documents.
Anomaly Detection (Unsupervised (Distance-based (Clustering (Global (CBLOF…
Anomaly Detection
Unsupervised
Distance-based
Clustering
Global
CBLOF
uCBLOF
Local
LDCOF
CMOG
Nearest Neighbor
Global
KNN
K
th
-NN
Local
LOF
COF
INFLO
LoOP
LOCI
aLOCI
Probabilistic
Parametric
Non-parametric
Subspace
Projection
Information theoretic
Dataset
Nature of the anomaly
Contextual anomaly
Contextual attributes
Behavioral attributes
Collective anomaly
Point anomaly
Labeling
Fully labeled
Semi-labeled
Unlabeled
Nature of the
attributes
Categorical
Binary
Continuous
Number of
attributes
Univariate
Multivariate
Output
Scores
Cut-off threshold
Top
k
Labels
Semi-supervised
Classification
One-class SVM
Neural Networks
Rule-base
Bayesian Neural Networks
Supervised