Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations.
Çaglar AytekinXingyang NiFrancesco CricriEmre AksuPublished in: CoRR (2018)
Keyphrases
- unsupervised anomaly detection
- anomaly detection
- clustering algorithm
- clustering method
- k means
- low complexity
- intrusion detection
- spectral clustering
- self organizing maps
- data points
- hierarchical clustering
- unsupervised learning
- multi dimensional
- bit rate
- data sets
- information theoretic
- data clustering
- similarity measure
- real world
- rate control
- automatically discovering
- neural network