cosNorm: Cosine normalization of a kernel matrix

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Cosine normalization of a kernel matrix

Description

It is equivalent to compute K using the normalization 'X/sqrt(sum(X^2))' in Feature Space.

Usage

cosNorm(K)

Arguments

K	Kernel matrix (class "matrix").

Value

Cosine-normalized K (class "matrix").

References

Ah-Pine, J. (2010). Normalized kernels as similarity indices. In Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II 14 (pp. 362-373). Springer Berlin Heidelberg. Link

Examples

dat <- matrix(rnorm(250),ncol=50,nrow=5)
K <- Linear(dat)
cosNorm(K)

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