SVM with multiple kernels based on manifold learning for Breast Cancer diagnosis.
Xiufeng YangHui PengMingrui ShiPublished in: ICIA (2013)
Keyphrases
- manifold learning
- breast cancer diagnosis
- feature mapping
- support vector
- feature space
- kernel function
- dimensionality reduction
- high dimensional
- nonlinear dimensionality reduction
- low dimensional
- support vector machine svm
- high dimensional data
- breast cancer
- multiple kernel learning
- semi supervised
- feature extraction
- feature selection
- support vector machine
- sparse representation
- kernel methods
- locally linear embedding
- knn
- dimension reduction
- riemannian manifolds
- neural network
- data sets
- feature vectors