RBF: Radial Basis Function

In XiaoqiLu/PhD-Thesis: Regularized Q-Learning

Description

RBF() is a utility function for RBF transform.

Usage

RBF(
  x,
  centers,
  Kernel = Gaussian,
  scale = 1,
  include_bias = TRUE,
  normalize = FALSE
)

Arguments

x	a data matrix, where rows are observations and columns are dimensions.
centers	a matrix for cluster centers
Kernel	radial functions
scale	scale parameter, or bandwidth
include_bias	if TRUE, include a column of ones
normalize	if TRUE, features (expect for bias) are normalized

Value

transformed matrix

See Also

Gaussian

Examples

x <- matrix(rnorm(20), 10, 2)
centers <- kmeans(x, 2)$centers
RBF(x, centers)

XiaoqiLu/PhD-Thesis documentation built on March 1, 2021, 10:49 a.m.