Iterative tighter nonparallel hyperplane support vector clustering with simultaneous feature selection.
Jiayan FangQiao LiuZhiguang QinPublished in: Clust. Comput. (2019)
Keyphrases
- hyperplane
- support vector clustering
- feature selection
- support vector
- feature space
- support vector machine
- data points
- training samples
- linear classifiers
- incremental learning algorithm
- kernel function
- convex hull
- text categorization
- dimensionality reduction
- upper bound
- principal components
- multi class
- linearly separable
- input space
- maximal margin
- locality sensitive
- decision boundary
- machine learning
- svm classifier
- classification procedure
- feature extraction
- linear separability
- feature set
- linear svm
- kernel space
- lower bound
- selected features
- linearly independent
- support vectors
- support vector machine svm
- model selection
- text classification
- knn
- training data
- pattern recognition
- high dimensional feature space
- normal vectors
- feature subset
- kernel methods
- pairwise
- high dimensional
- image processing