visualizePointMatching: Visualize point matching.

In jakobbossek/salesperson: Computation of Instance Features and R Interface to the State-of-the-Art Exact and Inexact Solvers for the Traveling Salesperson Problem

Description

Visualize a point matchings. Points and lines between the matched points are drawn in order to visualize the assignment.

Usage

visualizePointMatching(x, y, point.matching, highlight.longest = 0L)

Arguments

x	[Network | matrix] Network or (n x 2) matrix.
y	[Network | matrix] Network or (n x 2) matrix.
point.matching	[matrix] Point matching received via getOptimalPointMatching for example.
highlight.longest	[integer(1)] Number of longest distances which should be particularly highlighted. Default is 0.

Value

[ggplot]

See Also

getOptimalPointMatching, morphInstances, visualizeMorphing

Examples

# point matching on networks
x = generateRandomNetwork(n.points = 20L, upper = 100)
y = generateClusteredNetwork(n.points = 20L, n.cluster = 2L, upper = 100)
## Not run: 
pm = getOptimalPointMatching(x$coordinates, y$coordinates)
print(visualizePointMatching(x, y, pm, highlight.longest = 2L))

## End(Not run)

# point matching on point clouds
x = matrix(runif(20L), 2L)
y = matrix(runif(20L), 2L)
## Not run: 
pm = getOptimalPointMatching(x, y)
print(visualizePointMatching(x, y, pm))

## End(Not run)

jakobbossek/salesperson documentation built on Dec. 11, 2021, 4:54 a.m.