rbf: RBF kernel - L2 norm

In less: Learning with Subset Stacking

RBF kernel - L2 norm

Description

The default distance function in LESS.

Usage

rbf(data, center, coeff = 0.01)

Arguments

data	Data that includes points in shape of (M x d)
center	A constant point in shape of (1 x d)
coeff	Coefficient value for RBF kernel

Value

A numeric vector containing the Radial basis function kernel distance between each point in data and center.

Examples

data <- matrix(1:12, nrow=3)
center <- c(2, 7, 1, 3)
distances <- rbf(data, center)
print(distances)

less documentation built on Sept. 27, 2022, 5:05 p.m.