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Linear kernel

Source: R/kernel_functions.R
Linear.Rd

`Linear()` computes the inner product between all possible pairs of rows of a matrix or data.frame with dimension NxD.

Usage

Linear(X, cos.norm = FALSE, coeff = NULL)

Arguments

X

Matrix or data.frame that contains real numbers ("integer", "float" or "double").

cos.norm

Should the resulting kernel matrix be cosine normalized? (Defaults: FALSE).

coeff

(optional) A vector of length D that weights each one of the features (columns). When cos.norm=TRUE, `Linear()` first does the weighting and then the cosine-normalization.

Value

Kernel matrix (dimension: NxN).

Examples

dat <- matrix(rnorm(250),ncol=50,nrow=5)
Linear(dat)
#>              [,1]        [,2]        [,3]       [,4]      [,5]
#> [1,]  56.36893864  0.09496672 -15.2467464 -14.050418 11.868900
#> [2,]   0.09496672 58.56731315   0.7992432  -2.150232  4.124800
#> [3,] -15.24674635  0.79924315  58.9956748  10.422470 -5.152776
#> [4,] -14.05041796 -2.15023246  10.4224699  56.511142  4.236247
#> [5,]  11.86890032  4.12479992  -5.1527758   4.236247 43.785283