RKF-PCA: Robust kernel fuzzy PCA.
Gyeongyong HeoPaul D. GaderHichem FriguiPublished in: Neural Networks (2009)
Keyphrases
- principal component analysis
- principle component analysis
- kernel pca
- principal components analysis
- dimensionality reduction
- feature space
- principal components
- independent component analysis
- covariance matrix
- feature extraction
- face recognition
- high dimensional
- face images
- kernel principal component analysis
- discriminant analysis
- random projections
- subspace methods
- low dimensional
- dimension reduction
- data sets
- singular value decomposition
- computationally efficient
- k means
- similarity measure
- high dimensional feature space
- rotational invariant
- sparse regression
- fuzzy clustering
- linear discriminant analysis
- membership functions
- fuzzy logic
- pattern recognition
- decision making