T-distributed stochastic neighbor embedding (t-SNE) is a non-linear dimensionality reduction technique used to visualize high-dimensional data in a lower-dimensional (2D or 3D) space. Here’s how to apply it in Python.
Consider a Gaussian prior dis- tribution on the center location given by YK pðΘÞ ¼ N θk;1:H j0; B k¼1 ð9Þ where B is a positive definite matrix. The theory of Gaussian process regression allows B to be quite general. The covariance between θki and θkj ...