Improved deep convolutional embedded clustering with re-selectable sample training.
Hu LuChao ChenHui WeiZhongchen MaKe JiangYingquan WangPublished in: Pattern Recognit. (2022)
Keyphrases
- deep learning
- unsupervised learning
- k means
- deep belief networks
- clustering algorithm
- deep architectures
- clustering method
- improved algorithm
- restricted boltzmann machine
- data clustering
- supervised learning
- training set
- graph theoretic
- categorical data
- hierarchical clustering
- cluster analysis
- sample size
- spectral clustering
- test data
- embedded systems
- outlier detection
- training process
- training phase
- test set
- probabilistic model
- image classification
- data streams
- data sets