A kernel clustering method with a u-centered sample mapping is proposed to discover heterogeneous subgroups with different causal structures.
Causal Discovery from Heterogeneous/Nonstationary Data
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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.