Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types.
Kihyuk SohnJinsung YoonChun-Liang LiChen-Yu LeeTomas PfisterPublished in: WACV (2023)
Keyphrases
- anomaly detection
- clustering algorithm
- hierarchical clustering
- image database
- image data
- data clustering
- input image
- overlapping clusters
- cluster analysis
- image classification
- image analysis
- ground truth
- image collections
- three dimensional
- object recognition
- incremental clustering
- image features
- similar objects
- image retrieval
- image regions
- image set
- unsupervised learning
- self organizing maps
- document clustering
- meaningful clusters
- density based clustering
- hierarchical clustering algorithm
- clustering framework
- agglomerative clustering
- agglomerative hierarchical clustering
- unsupervised clustering
- arbitrary shape
- dissimilarity measure
- feature points
- data points
- similarity measure
- test images
- clustering method
- intrusion detection
- clustering procedure
- clustering scheme
- model based clustering
- image processing
- homogeneous groups
- clustering ensemble
- cluster structure
- clustering approaches
- cluster centers
- subspace clustering
- fuzzy clustering
- data objects
- visual features