Random walk-based fuzzy linear discriminant analysis for dimensionality reduction.
Ming-Bo ZhaoTommy W. S. ChowZhao ZhangPublished in: Soft Comput. (2012)
Keyphrases
- random walk
- linear discriminant analysis
- dimensionality reduction
- discriminant analysis
- principal component analysis
- high dimensional data
- dimension reduction
- high dimensional
- feature extraction
- dealing with high dimensional data
- class separability
- pattern recognition
- low dimensional
- face recognition
- feature selection
- data representation
- high dimensionality
- feature space
- markov chain
- small sample size
- random projections
- kernel discriminant analysis
- data points
- linear projection
- null space
- euclidean distance
- metric learning
- manifold learning
- lower dimensional
- link prediction
- principal components
- support vector machine svm
- support vector
- supervised dimensionality reduction
- singular value decomposition
- pairwise
- kernel pca
- dimensionality reduction methods
- locality preserving projections
- discriminant information