An Efficient Network Classification Based on Various-Widths Clustering and Semi-Supervised Stacking.
Abdulmohsen AlmalawiAdil FahadPublished in: IEEE Access (2021)
Keyphrases
- semi supervised
- unsupervised learning
- supervised learning
- machine learning
- clustering algorithm
- unsupervised clustering
- unsupervised classification
- semi supervised learning
- k means
- peer to peer
- training samples
- classification algorithm
- supervised classification
- clustering analysis
- label information
- feature extraction
- labeled and unlabeled data
- semi supervised classification
- semi supervised clustering
- feature selection
- decision trees
- pattern recognition
- unlabeled data
- image classification
- classification accuracy
- wireless sensor networks
- combination of multiple classifiers
- semi supervised learning algorithms
- support vector
- text classification
- class labels
- pairwise constraints
- hierarchical clustering
- feature vectors
- training set
- high dimensionality
- cluster analysis
- constrained clustering
- combining classifiers
- instance level constraints
- support vector machine svm