A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.
Linjun ChenGuangquan LuGuoqiu WenJiaye LiMalong TanPublished in: SSCI (2019)
Keyphrases
- kernel function
- structure learning
- high dimensional feature space
- clustering algorithm
- kernel pca
- kernel based nonlinear
- bayesian networks
- graphical models
- kernel methods
- support vector
- conditional independence
- feature space
- transfer learning
- support vector machine
- parameter estimation
- network structure
- kernel matrix
- markov networks
- high dimensional
- k means
- sample size
- belief propagation
- upper bound
- causal models
- multiple kernel learning
- model selection