cosnormX: Cosine normalization of a matrix

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Cosine normalization of a matrix

Description

Normalizes a numeric matrix dividing each row (if rows=TRUE) or column (if rows=FALSE) by their L2 norm. Thus, each row (or column) has unit norm.

Usage

cosnormX(X, rows = TRUE)

Arguments

X	Numeric matrix or data.frame of any size.
rows	If TRUE, the operation is done by row; otherwise, it is done by column. (Defaults: TRUE).

Value

Cosine-normalized X.

Examples

dat <- matrix(rnorm(50),ncol=5,nrow=10)
cosnormX(dat)

kerntools documentation built on Jan. 29, 2026, 1:07 a.m.