Anomaly Detection in Driving by Cluster Analysis Twice.
Chung-Hao LeeYen-Fu ChenPublished in: CoRR (2022)
Keyphrases
- cluster analysis
- anomaly detection
- unsupervised learning
- categorical data
- intrusion detection
- detecting anomalies
- clustering algorithm
- network intrusion detection
- k means
- clustering method
- data clustering
- network traffic
- data mining
- anomalous behavior
- factor analysis
- clustering analysis
- data mining techniques
- intrusion detection system
- correlation analysis
- one class support vector machines
- fuzzy clustering
- data analysis
- hierarchical latent class models
- network anomaly detection
- computer vision
- fuzzy c means
- detect anomalies
- dimensionality reduction
- cluster validity
- feature space
- similarity measure
- negative selection algorithm