Frobenius: Frobenius kernel

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Frobenius kernel

Description

'Frobenius()' computes the Frobenius kernel between numeric matrices.

Usage

Frobenius(DATA, cos.norm = FALSE, feat_space = FALSE)

Arguments

DATA	A list of M matrices or data.frames containing only real numbers (class "integer", "float" or "double"). All matrices or data.frames should have the same number of rows and columns.
cos.norm	Should the resulting kernel matrix be cosine normalized? (Defaults: FALSE).
feat_space	If FALSE, only the kernel matrix is returned. Otherwise, the feature space is also returned. (Defaults: FALSE).

Details

The Frobenius kernel is the same than the Frobenius inner product between matrices.

Value

Kernel matrix (dimension:NxN), or a list with the kernel matrix and the feature space.

Examples

data1 <- matrix(rnorm(250000),ncol=500,nrow=500)
data2 <- matrix(rnorm(250000),ncol=500,nrow=500)
data3 <- matrix(rnorm(250000),ncol=500,nrow=500)

Frobenius(list(data1,data2,data3))

kerntools documentation built on April 3, 2025, 7:52 p.m.