Dimension Reduction in Text Classification with Support Vector Machines.
Hyunsoo KimPeg HowlandHaesun ParkPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- dimension reduction
- text classification
- feature selection
- unsupervised learning
- feature extraction
- singular value decomposition
- low dimensional
- high dimensional problems
- high dimensional
- text mining
- text categorization
- high dimensional data
- principal component analysis
- bag of words
- labeled data
- linear discriminant analysis
- machine learning
- partial least squares
- random projections
- feature space
- manifold learning
- variable selection
- data mining and machine learning
- dimensionality reduction
- knn
- high dimensionality
- cluster analysis
- discriminative information
- real world
- high dimensional data analysis
- multi label
- input image
- preprocessing
- similarity measure
- data mining