laplacian: Laplacian kernel - L1 norm

In less: Learning with Subset Stacking

Laplacian kernel - L1 norm

Description

An alternative distance function that can be used in LESS.

Usage

laplacian(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 Laplacian kernel

Value

A numeric vector containing the laplacian kernel distance between each point in data and center.

Examples

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

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