How to resolve the algorithm Voronoi diagram step by step in the BASIC256 programming language
Published on 12 May 2024 09:40 PM
How to resolve the algorithm Voronoi diagram step by step in the BASIC256 programming language
Table of Contents
Problem Statement
A Voronoi diagram is a diagram consisting of a number of sites. Each Voronoi site s also has a Voronoi cell consisting of all points closest to s.
Demonstrate how to generate and display a Voroni diagram.
See algo K-means++ clustering.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Voronoi diagram step by step in the BASIC256 programming language
Source code in the basic256 programming language
global ancho, alto
ancho = 500 : alto = 500
clg
graphsize ancho, alto
function hypot(a, b)
return sqr(a^2+b^2)
end function
subroutine Generar_diagrama_Voronoi(ancho, alto, num_celdas)
dim nx(num_celdas+1)
dim ny(num_celdas+1)
dim nr(num_celdas+1)
dim ng(num_celdas+1)
dim nb(num_celdas+1)
for i = 0 to num_celdas
nx[i] = int(rand * ancho)
ny[i] = int(rand * alto)
nr[i] = int(rand * 256) + 1
ng[i] = int(rand * 256) + 1
nb[i] = int(rand * 256) + 1
next i
for y = 1 to alto
for x = 1 to ancho
dmin = hypot(ancho-1, alto-1)
j = -1
for i = 1 to num_celdas
d = hypot(nx[i]-x, ny[i]-y)
if d < dmin then dmin = d : j = i
next i
color rgb(nr[j], ng[j], nb[j])
plot (x, y)
next x
next y
end subroutine
call Generar_diagrama_Voronoi(ancho, alto, 25)
refresh
imgsave "Voronoi_diagram.jpg", "jpg"
end
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