Dimension Reduction With Prior Information for Knowledge Discovery.
Anh Tuan BuiPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2024)
Keyphrases
- dimension reduction
- prior information
- knowledge discovery
- prior knowledge
- principal component analysis
- bayesian inference
- feature extraction
- high dimensional
- variable selection
- low dimensional
- discriminative information
- high dimensional problems
- linear discriminant analysis
- feature selection
- data mining
- manifold learning
- text mining
- random projections
- data mining and machine learning
- high dimensional data
- data analysis
- data mining techniques
- cluster analysis
- databases
- singular value decomposition
- partial least squares
- preprocessing
- high dimensionality
- feature space
- high dimensional data analysis
- machine learning
- association rules
- dimensionality reduction
- data sets
- dimension reduction methods
- unsupervised learning
- discriminant analysis
- image data
- pattern recognition
- training data
- information retrieval
- web mining
- real world