A new fuzzy MLE-clustering approach based on object-to-group probabilistic distance measure: from anomaly detection to multi-fault classification in datacenter computational nodes.
Saloua El MotakiBadr HirchouaAli YahyaouyPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- anomaly detection
- distance measure
- clustering analysis
- nearest neighbor classifier
- unsupervised learning
- intrusion detection
- proximity measures
- euclidean distance
- network intrusion detection
- detecting anomalies
- similarity measure
- pattern recognition
- intrusion detection system
- anomalous behavior
- network traffic
- dynamic time warping
- distance metric
- network security
- fuzzy clustering
- clustering algorithm
- supervised learning
- detect anomalies
- clustering method
- text classification
- one class support vector machines
- network anomaly detection
- bayesian networks
- machine learning
- activity recognition
- cluster analysis
- distance calculation
- detecting anomalous
- network structure
- information theoretic
- outlier detection
- maximum likelihood
- semi supervised
- k means
- object recognition
- decision trees