A Novel Metric for Detecting Anomalous Ship Behavior Using a Variation of the DBSCAN Clustering Algorithm.
Carsten H. BottsPublished in: SN Comput. Sci. (2021)
Keyphrases
- clustering algorithm
- detecting anomalous
- k means
- density based clustering
- clustering method
- intrusion detection
- data clustering
- spatial clustering
- anomaly detection
- fuzzy c means
- cluster analysis
- network traffic
- distance measure
- spectral clustering
- hierarchical clustering
- density based clustering algorithm
- document clustering
- clustering analysis
- arbitrary shape
- decision trees
- high efficiency
- data sets
- distance function
- clustering framework
- single link
- information retrieval
- data mining