A new pipeline for interpretable heterogeneous regression that combines response-informed random Fourier features, PCA embedding, GMM soft clustering, and cluster-specific spline GAMs.
and Khajavi, H.,A Novel Study on Forecasting the Airfoil Self-Noise, Using a Hybrid Model Based on the Combination of CatBoost and Arithmetic Optimization Algorithm
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Cluster-Based Generalized Additive Models Informed by Random Fourier Features
A new pipeline for interpretable heterogeneous regression that combines response-informed random Fourier features, PCA embedding, GMM soft clustering, and cluster-specific spline GAMs.