On the Existence of Kernel Function for Kernel-Trick of k-Means.
Mieczyslaw A. KlopotekPublished in: CoRR (2017)
Keyphrases
- kernel trick
- kernel function
- k means
- kernel methods
- feature space
- high dimensional feature space
- input space
- support vector
- kernel pca
- support vector machine
- kernel learning
- maximum margin
- kernel matrix
- spectral clustering
- kernel based nonlinear
- clustering algorithm
- support vector regression
- kernel discriminant analysis
- hyperplane
- high dimensional
- regression algorithm
- dimensionality reduction
- data clustering
- infinite dimensional
- multiple kernel learning
- clustering method
- support vectors
- sparse coding
- feature vectors
- kernel matrices
- learning algorithm
- reproducing kernel hilbert space
- feature set
- svm classifier
- regression method
- discriminative learning