On the Existence of Kernel Function for Kernel-Trick of k-Means in the Light of Gower Theorem.
Mieczyslaw A. KlopotekPublished in: Fundam. Informaticae (2019)
Keyphrases
- kernel trick
- kernel function
- k means
- kernel methods
- input space
- feature space
- high dimensional feature space
- support vector
- kernel learning
- dimensionality reduction
- kernel discriminant analysis
- maximum margin
- kernel pca
- support vector machine
- kernel based nonlinear
- hyperplane
- clustering algorithm
- data clustering
- high dimensional
- feature set
- regression algorithm
- dimensionality reduction methods
- kernel matrices
- support vectors
- support vector regression
- svm classifier
- kernel matrix
- sparse coding
- regression method
- spectral clustering
- document clustering
- feature selection
- learning problems
- nonlinear models
- structured output
- data sets
- linear transformation
- training samples
- reproducing kernel hilbert space
- clustering method
- multiple kernel learning