A threshold criterion, auto-detection and its use in MST-based clustering.
Yu HeLihui ChenPublished in: Intell. Data Anal. (2005)
Keyphrases
- clustering algorithm
- k means
- object detection
- clustering method
- minimum message length
- anomaly detection
- detection method
- detection accuracy
- data clustering
- automatic detection
- neural network
- detection algorithm
- hierarchical clustering
- false positives
- detection rate
- feature selection
- face detection
- unsupervised learning
- outlier detection
- fuzzy clustering
- false alarms
- target detection
- minimum description length
- minimum error
- cluster validation
- scheduling problem