kernel_weight: Kernel Weight

In orthoDr: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization

Kernel Weight

Description

Calculate the Gaussian kernel weights between rows of X1 and rows of X2.

Usage

kernel_weight(x1, x2, kernel = "gaussian", dist = "euclidean")

Arguments

x1	First data matrix
x2	Second data matrix
kernel	The kernel function, currently only using Gaussian kernel.
dist	The distance metric, currently only using the Euclidean distance.

Value

A distance matrix, with its (i, j)th element being the kernel weights for the i th row of X1 jth row of X2.

Examples

# two matrices
set.seed(1)
x1 <- matrix(rnorm(10), 5, 2)
x2 <- matrix(rnorm(6), 3, 2)
kernel_weight(x1, x2)

orthoDr documentation built on May 29, 2024, 4 a.m.