Spectral Kernel Methods for Clustering.
Nello CristianiniJohn Shawe-TaylorJaz S. KandolaPublished in: NIPS (2001)
Keyphrases
- kernel methods
- similarity function
- kernel based clustering
- kernel function
- support vector
- clustering algorithm
- learning problems
- kernel matrix
- feature space
- support vector machine
- clustering method
- data clustering
- multiple kernel learning
- machine learning
- learning tasks
- data points
- kernel trick
- high dimensional feature space
- multiple kernel
- normalized cut
- kernel learning
- kernel fisher discriminant analysis
- kernel ridge regression
- kernel matrices
- graph kernels
- kernel pca
- reproducing kernel hilbert space
- spectral clustering
- neural network
- unsupervised learning
- cluster analysis
- feature selection
- data mining