A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations.
Alex MarkhamRicheek DasMoritz Grosse-WentrupPublished in: CLeaR (2022)
Keyphrases
- clustering algorithm
- kernel pca
- distance metric
- k means
- similarity function
- dissimilarity measure
- input space
- distance measure
- hierarchical clustering
- kernel function
- support vector
- information theoretic
- affinity measure
- inter cluster
- distance function
- unsupervised learning
- causal models
- high dimensional feature space
- causal relationships
- feature space
- distance transform
- clustering method
- spectral clustering
- data points
- euclidean distance
- component analysis
- bayesian networks
- distance computation
- document clustering
- similarity measure
- granger causality
- neural network