A Clustering Algorithm via Kernel Function and Locality Preserving Projections.
Mengmeng ZhanGuangquan LuGuoqiu WenLeyuan ZhangLin WuPublished in: SSCI (2019)
Keyphrases
- kernel function
- locality preserving projections
- clustering algorithm
- dimensionality reduction
- face recognition
- support vector
- feature space
- linear discriminant analysis
- kernel methods
- manifold learning
- input space
- high dimensional
- principal component analysis
- support vector machine
- riemannian manifolds
- k means
- subspace methods
- kernel matrix
- kernel learning
- reproducing kernel hilbert space
- subspace learning
- discriminant analysis
- data clustering
- sparse coding
- high dimensional feature space
- kernel trick
- low dimensional
- feature set
- feature extraction
- data mining
- spectral clustering
- high dimensional data
- clustering method
- discriminative information
- computer vision
- data sets