A kernel clustering method with a u-centered sample mapping is proposed to discover heterogeneous subgroups with different causal structures.
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering
A kernel clustering method with a u-centered sample mapping is proposed to discover heterogeneous subgroups with different causal structures.