DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.
Zhimeng YangYazhou RenZirui WuMing ZengJie XuYang YangXiaorong PuPhilip S. YuLifang HePublished in: Neurocomputing (2023)
Keyphrases
- domain adaptation
- fully unsupervised
- cross domain
- semi supervised
- clustering algorithm
- clustering method
- multiple sources
- target domain
- semi supervised learning
- k means
- unsupervised learning
- document classification
- test data
- labeled data
- sentiment classification
- data points
- training data
- transfer learning
- co training
- manifold alignment
- covariate shift
- text categorization
- document clustering
- unlabeled data
- text classification
- web documents
- data mining
- d objects
- knowledge discovery
- active learning
- learning algorithm