Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0.
Dylan MoliniéKurosh MadaniVéronique AmargerPublished in: IWANN (2) (2023)
Keyphrases
- anomaly detection
- unsupervised clustering
- intrusion detection
- supervised classification
- detecting anomalies
- network intrusion detection
- clustering method
- anomalous behavior
- k means
- unsupervised learning
- clustering algorithm
- detect anomalies
- network traffic
- image segmentation
- network anomaly detection
- intrusion detection system
- one class support vector machines
- computer vision
- fuzzy c means
- supervised learning
- spectral clustering
- text classification
- data mining techniques
- knowledge discovery
- object recognition
- pattern recognition
- genetic algorithm
- negative selection algorithm
- misuse detection