Clustering-driven unsupervised deep hashing for image retrieval.
Yifan GuShidong WangHaofeng ZhangYazhou YaoWankou YangLi LiuPublished in: Neurocomputing (2019)
Keyphrases
- image retrieval
- unsupervised learning
- nearest neighbor search
- unsupervised classification
- clustering algorithm
- data driven
- k means
- image database
- clustering method
- cluster validation
- unsupervised feature selection
- unsupervised manner
- unsupervised clustering
- data clustering
- cluster analysis
- relevance feedback
- self organizing maps
- information bottleneck
- supervised classification
- categorical data
- retrieval method
- hierarchical clustering
- text retrieval
- information theoretic
- outlier detection
- deep architectures
- anomaly detection
- data structure
- agglomerative clustering
- order preserving
- data sets
- image search
- fuzzy clustering
- supervised learning
- image content
- semi supervised
- data points
- low level
- high dimensional data
- document clustering