A New Semi-supervised Dimension Reduction Technique for Textual Data Analysis.
Manuel Martín-MerinoJesus RománPublished in: IDEAL (2006)
Keyphrases
- dimension reduction
- data analysis
- high dimensional data
- cluster analysis
- feature extraction
- principal component analysis
- data mining and machine learning
- random projections
- high dimensional problems
- high dimensional
- linear discriminant analysis
- variable selection
- high dimensionality
- data mining
- low dimensional
- multimedia
- feature space
- feature selection
- text mining
- dimensionality reduction
- dimension reduction methods
- machine learning
- partial least squares
- clustering algorithm
- manifold learning
- knowledge discovery
- high dimensional data analysis
- face recognition
- singular value decomposition
- clustering method
- data warehouse
- metadata
- discriminant analysis
- computer vision
- life sciences
- discriminative information
- support vector
- database
- manifold embedding