Semi-supervised classification based on random subspace dimensionality reduction.
Guo-Xian YuGuoji ZhangCarlotta DomeniconiZhiwen YuJane YouPublished in: Pattern Recognit. (2012)
Keyphrases
- semi supervised classification
- dimensionality reduction
- subspace methods
- semi supervised learning
- semi supervised
- principal component analysis
- linear discriminant analysis
- low dimensional
- lower dimensional
- unsupervised learning
- labeled data
- high dimensional
- high dimensional data
- data points
- data representation
- unlabeled data
- pattern recognition
- euclidean distance
- principal components
- feature extraction
- pairwise constraints
- feature space
- feature selection
- input space
- natural language processing
- ensemble methods
- dimension reduction
- training data
- co training
- metric learning
- machine learning
- prior knowledge
- supervised learning