Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data.
Jessica ClarkFoster J. ProvostPublished in: Data Min. Knowl. Discov. (2019)
Keyphrases
- sparse data
- unsupervised dimensionality reduction
- dimensionality reduction
- high dimensional
- low dimensional
- multi category
- principal component analysis
- text categorisation
- supervised learning
- random projections
- unsupervised learning
- high dimensional data
- image classification
- support vector machine svm
- feature space
- pattern recognition
- feature selection
- machine learning
- feature vectors
- high dimensionality
- support vector
- text classification
- emerging patterns
- principal components analysis
- data structure
- databases
- text mining
- semi supervised
- risk minimization