Clustering large datasets with kernel methods.
Stefan FaußerFriedhelm SchwenkerPublished in: ICPR (2012)
Keyphrases
- kernel methods
- similarity function
- kernel based clustering
- learning problems
- support vector
- kernel function
- clustering algorithm
- k means
- kernel matrix
- feature space
- support vector machine
- machine learning
- kernel trick
- learning tasks
- clustering method
- data clustering
- unsupervised learning
- multiple kernel learning
- reproducing kernel hilbert space
- outlier detection
- kernel matrices
- high dimensional feature space
- kernel pca
- kernel learning
- training dataset
- document clustering
- graph kernels
- data sets
- kernel ridge regression
- data points
- semi supervised
- distance metric