A Dimension Reduction Framework for HSI Classification Using Fuzzy and Kernel NFLE Transformation.
Ying-Nong ChenCheng-Ta HsiehMing-Gang WenChin-Chuan HanKuo-Chin FanPublished in: Remote. Sens. (2015)
Keyphrases
- dimension reduction
- feature extraction
- feature space
- principal component analysis
- high dimensional data analysis
- high dimensional
- data mining and machine learning
- feature selection
- high dimensionality
- random projections
- unsupervised learning
- manifold learning
- decision trees
- singular value decomposition
- discriminative information
- support vector
- kernel learning
- feature subspace
- sparse metric learning
- linear discriminant analysis
- high dimensional data
- pattern recognition
- kernel function
- support vector machine svm
- low dimensional
- multiple kernel learning
- manifold embedding
- machine learning
- feature set
- supervised learning
- feature vectors
- principle component analysis
- high dimensional problems
- image processing