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kerntools (version 1.2.0)

cosNorm: 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)

Value

Cosine-normalized K (class "matrix").

Arguments

K

Kernel matrix (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

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

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