Manifold learning techniques for unsupervised anomaly detection.
Colin C. OlsonK. Peter JuddJonathan M. NicholsPublished in: Expert Syst. Appl. (2018)
Keyphrases
- manifold learning
- unsupervised anomaly detection
- semi supervised
- anomaly detection
- semi supervised learning
- nonlinear dimensionality reduction
- pairwise
- active learning
- unsupervised learning
- supervised learning
- intrusion detection
- diffusion maps
- subspace learning
- laplacian eigenmaps
- manifold learning algorithm
- low dimensional manifolds
- manifold structure
- head pose estimation
- geodesic distance
- discriminant projection
- data sets
- riemannian manifolds
- low dimensional
- dimensionality reduction
- manifold embedding
- cluster analysis
- locally linear embedding
- dimension reduction
- sparse representation
- high dimensional data
- data analysis
- image processing
- machine learning
- data mining