Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations.
Çaglar AytekinXingyang NiFrancesco CricriEmre AksuPublished in: IJCNN (2018)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- clustering algorithm
- k means
- clustering method
- low complexity
- unsupervised learning
- data clustering
- intrusion detection
- data sets
- hierarchical clustering
- document clustering
- cluster analysis
- rate distortion
- bit rate
- maximum likelihood
- motion estimation
- feature extraction
- spectral clustering
- dimensionality reduction
- deep learning