Embedded non-parametric kernel learning for kernel clustering.
Mingming LiuBing LiuChen ZhangWei SunPublished in: Multidimens. Syst. Signal Process. (2017)
Keyphrases
- kernel learning
- kernel function
- kernel matrix
- distance metric
- pairwise constraints
- multiple kernel learning
- kernel methods
- semi supervised
- support vector regression
- kernel trick
- dimensionality reduction
- clustering method
- semidefinite program
- kernel matrices
- k means
- unsupervised learning
- document clustering
- clustering algorithm
- multiple kernel
- optimal kernel
- learning tasks
- data clustering
- low rank
- metric learning
- kernel based learning methods
- cluster analysis
- data points
- pairwise
- learning problems
- gaussian process
- machine learning
- high dimensional data
- model selection
- kernel pca
- active learning
- high dimensional
- feature space