A conditionally positive definite kernel function for possibilistic clustering.
Jyotsna NigamMeena TushirDinesh RaiPublished in: Int. J. Artif. Intell. Soft Comput. (2017)
Keyphrases
- positive definite
- kernel function
- support vector
- kernel methods
- support vector machine
- kernel matrix
- input space
- feature space
- reproducing kernel hilbert space
- kernel machines
- hyperplane
- kernel learning
- high dimensional
- feature set
- support vectors
- computer vision
- feature selection
- covariance matrix
- svm classifier
- data sets
- linear combination
- nearest neighbor
- data analysis
- pattern recognition