heatK: Kernel matrix heatmap

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Kernel matrix heatmap

Description

'heatK()' plots the heatmap of a kernel matrix.

Usage

heatK(
  K,
  cos.norm = FALSE,
  title = NULL,
  color = c("red", "yellow"),
  name_leg = NULL,
  raster = FALSE
)

Arguments

K	Kernel matrix (class "matrix").
cos.norm	If TRUE, the cosine normalization is applied to the kernel matrix so its elements have a maximum value of 1. (Defaults: FALSE).
title	Heatmap title (optional).
color	A vector of length 2 containing two colors. The first color will be used to represent the minimum value and the second the maximum value of the kernel matrix.
name_leg	Title of the legend.
raster	In large kernel matrices, raster = TRUE will draw quicker and better-looking heatmaps. (Defaults=FALSE).

Value

A 'ggplot2' heatmap.

Examples

data <- matrix(rnorm(150),ncol=50,nrow=30)
K <- Linear(data)
heatK(K)

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