A manifold learning framework for both clustering and classification.
Weiling CaiPublished in: Knowl. Based Syst. (2015)
Keyphrases
- manifold learning
- feature mapping
- low dimensional
- feature extraction
- locality preserving
- dimension reduction
- high dimensional
- unsupervised learning
- machine learning
- feature vectors
- intrinsic manifold
- manifold embedding
- pattern recognition
- high dimensional data
- subspace learning
- clustering algorithm
- feature space
- high dimensionality
- diffusion maps
- feature selection
- feature subspace
- locality preserving projections
- nonlinear dimensionality reduction
- support vector
- dimensionality reduction
- k means
- preprocessing
- face recognition
- cluster analysis
- sparse representation
- riemannian manifolds
- support vector machine svm
- image classification
- semi supervised
- data sets