Dimensionality reduction for text using LLE.
Chuan HeZhe DongRuifan LiYixin ZhongPublished in: NLPKE (2008)
Keyphrases
- dimensionality reduction
- locally linear embedding
- nonlinear dimensionality reduction
- low dimensional
- high dimensional data
- manifold learning
- dimensionality reduction methods
- high dimensional
- principal component analysis
- feature extraction
- pattern recognition
- high dimensionality
- data representation
- data points
- subspace learning
- information retrieval
- linear discriminant analysis
- database
- pattern recognition and machine learning
- text retrieval
- principal components
- feature selection
- feature space
- preprocessing step
- euclidean distance
- linear dimensionality reduction
- text mining
- free text
- random projections
- laplacian eigenmaps
- diffusion maps
- manifold learning algorithm
- image processing
- input data
- discriminant analysis
- singular value decomposition
- neighborhood preserving embedding