Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types.
Kihyuk SohnJinsung YoonChun-Liang LiChen-Yu LeeTomas PfisterPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- clustering algorithm
- hierarchical clustering
- image data
- image database
- three dimensional
- input image
- image classification
- image registration
- data points
- overlapping clusters
- intrusion detection
- image analysis
- ground truth
- object recognition
- fuzzy clustering
- image collections
- data clustering
- self organizing maps
- test images
- image features
- k means
- clustering method
- image regions
- cluster analysis
- incremental clustering
- density based clustering
- hierarchical clustering algorithm
- unsupervised learning
- agglomerative hierarchical clustering
- clustering framework
- clustering approaches
- similar objects
- unsupervised clustering
- image retrieval
- graph clustering
- subspace clustering
- dissimilarity measure
- semi supervised
- similarity measure
- agglomerative clustering
- document clustering
- clustering procedure
- input data
- homogeneous groups
- affinity measure