A Novel Kernel Clustering Method for SVM Training Sample Reduction.
Tong-Bo WangPublished in: ICA3PP (Workshops) (2018)
Keyphrases
- clustering method
- training samples
- decision function
- feature space
- kernel function
- support vectors
- support vector
- hyperplane
- decision boundary
- training data
- training set
- clustering algorithm
- test sample
- fuzzy c means
- training examples
- support vector machine
- affinity propagation
- learning algorithm
- high dimensional
- spectral clustering
- hierarchical clustering
- subspace clustering
- k means
- svm classifier
- cluster analysis
- linear classifiers
- support vector machine svm
- feature vectors
- supervised learning
- feature selection
- similarity measure
- convex hull
- training dataset
- input space
- base classifiers
- k nearest neighbor
- knn
- multi class
- feature set
- graph clustering
- clustering framework
- machine learning
- data sets
- clustering result
- reduced set
- ls svm
- active learning
- face images