Interpretable Image Clustering via Diffeomorphism-Aware K-Means.
Romain CosentinoRandall BalestrieroYanis BahrounAnirvan M. SenguptaRichard G. BaraniukBehnaam AazhangPublished in: CoRR (2020)
Keyphrases
- k means
- clustering algorithm
- input image
- clustering method
- image data
- image analysis
- single image
- hierarchical clustering
- image classification
- image content
- multiscale
- template matching
- spectral clustering
- region of interest
- edge detection
- image features
- similarity measure
- image representation
- cluster centers
- data clustering
- unsupervised clustering
- image retrieval
- image pixels
- cluster analysis
- image segmentation
- self organizing maps
- segmentation method
- high resolution
- test images
- feature points
- data points
- image collections
- low level
- object recognition
- clustering approaches