Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering

no code implementations • 6 Nov 2015 • Z. Zhang, K. Duraisamy, N. A. Gumerov

Standard Gaussian Process (GP) regression, a powerful machine learning tool, is computationally expensive when it is applied to large datasets, and potentially inaccurate when data points are sparsely distributed in a high-dimensional feature space.

Clustering regression