Semi-Supervised Self-Training Feature Weighted Clustering Decision Tree and Random Forest.
Zhenyu LiuTao WenWei SunQilong ZhangPublished in: IEEE Access (2020)
Keyphrases
- random forest
- feature importance
- decision trees
- semi supervised
- feature set
- random forests
- semi supervised learning
- training set
- co training
- unsupervised learning
- semi supervised classification
- ensemble methods
- semi supervised clustering
- supervised learning
- unlabeled data
- decision tree learning algorithms
- fold cross validation
- multi label
- base classifiers
- active learning
- labeled data
- machine learning
- clustering algorithm
- k means
- feature ranking
- pairwise constraints
- pairwise
- ensemble classifier
- data sets
- image processing
- training data
- subspace learning
- data points
- cost sensitive
- machine learning algorithms
- image features