On the Existence of Kernel Function for Kernel-Trick of k-Means.
Mieczyslaw A. KlopotekPublished in: ISMIS (2017)
Keyphrases
- kernel trick
- kernel function
- k means
- kernel methods
- feature space
- input space
- high dimensional feature space
- support vector
- kernel learning
- kernel pca
- dimensionality reduction
- data clustering
- support vector machine
- kernel matrix
- maximum margin
- spectral clustering
- clustering algorithm
- kernel discriminant analysis
- high dimensional
- infinite dimensional
- kernel based nonlinear
- clustering method
- kernel matrices
- regression algorithm
- multiple kernel learning
- nonlinear models
- hyperplane
- discriminative learning
- svm classifier
- decision trees
- reproducing kernel hilbert space
- expectation maximization
- support vectors
- support vector regression
- sparse coding
- document clustering
- data points
- training samples
- piecewise linear
- structured output
- image processing