Lol
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@ -4,6 +4,7 @@ version = "0.1.0"
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authors = ["Thomas Forgione <thomas@tforgione.fr>"]
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authors = ["Thomas Forgione <thomas@tforgione.fr>"]
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[dependencies]
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[dependencies]
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rand = "*"
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[[bin]]
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[[bin]]
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name = "example"
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name = "example"
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8.103899733693975 4.001561001136776 red
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6.954538631721563 2.976496115773739 red
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7.240396443716532 3.2846074175197377 red
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7.5850349627285185 2.8942969475507017 red
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7.287112882089894 3.216029227750091 red
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7.623359140518172 2.9593967166439348 red
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7.713574159860361 3.4895881829426822 red
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7.025980576805368 3.6433631066041405 red
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7.444754728796709 3.483957785955234 red
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6.838126438683099 3.3484180783059685 red
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7.263944759925077 2.9654682573147193 red
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7.6315888677034645 3.2466591797995314 red
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6.826319178392804 4.484284866115551 red
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7.360383098198501 3.7990932090392033 red
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8.094085099203799 3.836014940244799 red
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7.321057251480907 3.174050781865412 red
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7.549705399139268 2.5146338343626593 red
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7.1448124339102765 3.9680523242145584 red
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7.734875951386552 3.2714316107507564 red
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9.675705035077282 3.1167373037722834 red
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7.444144597466469 3.089028651011974 red
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6.783074702273208 3.211128587952996 red
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7.47683218710337 2.518766753491712 red
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7.163021503821117 3.252526493441669 red
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7.980469959385454 4.158922284653899 red
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8.52415725815523 3.11232846252088 red
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7.697640498922979 4.2285295178410545 red
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7.979057752484617 3.772083324553033 red
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7.129657086439503 4.270166790068663 red
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7.751753583966503 3.793402426923823 red
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7.962022594729247 3.557862833899373 red
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7.860303846423593 3.179038118142694 red
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7.594168785731357 3.6788496848681413 red
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9.124385644351904 2.468503337895192 red
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7.713454204203212 2.9490935786628114 red
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6.978844559548216 3.0178337639638806 red
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6.906575699777272 3.3487729496964964 red
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7.581454792889804 4.080280777611024 red
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7.769797486055793 3.568644324142498 red
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7.514981043050376 3.1549995905568915 red
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8.076143978924529 3.470220123136699 red
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7.29875139666393 3.3347908360349003 red
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8.625871616822147 3.10608064651563 red
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7.017251111494703 3.781879721569966 red
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7.228136277849404 2.9054637393699094 red
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7.270449993677676 3.01328472629758 red
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7.3710753704641245 3.5688528791612377 red
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7.933270825676227 3.5624377469972264 red
|
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|
7.471503469540416 3.202424426475704 red
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|
6.741829988777134 3.7063692230617864 red
|
Binary file not shown.
After Width: | Height: | Size: 9.6 KiB |
|
@ -0,0 +1,11 @@
|
||||||
|
set terminal png size 1280,720 enhanced font "Sans,15"
|
||||||
|
set output "diagram.png"
|
||||||
|
set pointsize 3
|
||||||
|
set xrange [0:10]
|
||||||
|
set yrange [0:10]
|
||||||
|
plot "< awk '{if($3 == \"red\") print}' dat.dat" u 1:2 t "red" pt 4, \
|
||||||
|
"< awk '{if($3 == \"green\") print}' dat.dat" u 1:2 t "green" pt 4, \
|
||||||
|
"< awk '{if($3 == \"blue\") print}' dat.dat" u 1:2 t "blue" pt 4, \
|
||||||
|
"< awk '{if($3 == \"red\") print}' centers.dat" u 1:2 t "red" pt 7, \
|
||||||
|
"< awk '{if($3 == \"green\") print}' centers.dat" u 1:2 t "green" pt 7, \
|
||||||
|
"< awk '{if($3 == \"blue\") print}' centers.dat" u 1:2 t "blue" pt 7
|
|
@ -0,0 +1,5 @@
|
||||||
|
#!/usr/bin/env bash
|
||||||
|
cd ..
|
||||||
|
cargo run --release --bin example
|
||||||
|
cd plot
|
||||||
|
gnuplot plot.gpi
|
|
@ -1,10 +1,13 @@
|
||||||
|
extern crate rand;
|
||||||
extern crate generic_kmeans;
|
extern crate generic_kmeans;
|
||||||
|
|
||||||
use std::fmt::{Display, Formatter, Result};
|
use std::fmt::{Display, Formatter, Result};
|
||||||
|
use std::fs::File;
|
||||||
|
use rand::distributions::Range;
|
||||||
|
use rand::distributions::normal::Normal;
|
||||||
use generic_kmeans::{kmeans, Clusterable};
|
use generic_kmeans::{kmeans, Clusterable};
|
||||||
|
|
||||||
#[derive(PartialEq, Clone)]
|
#[derive(PartialEq, Copy, Clone)]
|
||||||
struct Vector2<T> {
|
struct Vector2<T> {
|
||||||
pub x: T,
|
pub x: T,
|
||||||
pub y: T,
|
pub y: T,
|
||||||
|
@ -54,29 +57,52 @@ impl Clusterable for Vector2<f64> {
|
||||||
|
|
||||||
fn main() {
|
fn main() {
|
||||||
|
|
||||||
let elements = vec![
|
use rand::distributions::IndependentSample;
|
||||||
Vector2::new(8.0, 3.0),
|
|
||||||
Vector2::new(9.0, 3.0),
|
let colors = vec![
|
||||||
Vector2::new(9.0, 2.0),
|
"blue",
|
||||||
Vector2::new(1.0, 8.0),
|
"red",
|
||||||
Vector2::new(2.0, 9.0),
|
"green",
|
||||||
Vector2::new(3.0, 8.0),
|
|
||||||
];
|
];
|
||||||
|
|
||||||
let initial = vec![
|
let range = Range::new(0.0, 10.0);
|
||||||
Vector2::new(1.0, 10.0),
|
let mut rng = rand::thread_rng();
|
||||||
Vector2::new(10.0, 0.0),
|
let cluster_number = 3;
|
||||||
];
|
|
||||||
|
|
||||||
let (clusters, nb_iterations) = kmeans(initial, elements, 1000).ok().unwrap();
|
let mut centers = vec![];
|
||||||
|
for _ in 0..cluster_number {
|
||||||
|
let center = Vector2::new(range.ind_sample(&mut rng), range.ind_sample(&mut rng));
|
||||||
|
centers.push((center, Normal::new(center.x, 0.5), Normal::new(center.y, 0.5)));
|
||||||
|
}
|
||||||
|
|
||||||
|
let mut elements = vec![];
|
||||||
|
|
||||||
|
for &mut (_, x_rng, y_rng) in centers.iter_mut() {
|
||||||
|
|
||||||
|
for _ in 0..100 {
|
||||||
|
elements.push(Vector2::new(x_rng.ind_sample(&mut rng), y_rng.ind_sample(&mut rng)));
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
let (clusters, nb_iterations) = kmeans(
|
||||||
|
centers.iter().map(|x| x.clone().0).collect::<Vec<_>>(), elements, 100000).ok().unwrap();
|
||||||
|
|
||||||
println!("{}", nb_iterations);
|
println!("{}", nb_iterations);
|
||||||
|
|
||||||
for (index, cluster) in clusters.iter().enumerate() {
|
let mut output = File::create("plot/dat.dat").unwrap();
|
||||||
println!("CLUSTER {}", index);
|
|
||||||
|
|
||||||
|
for (cluster, color) in clusters.iter().zip(&colors) {
|
||||||
for element in cluster {
|
for element in cluster {
|
||||||
println!("\t{}", element);
|
use std::io::Write;
|
||||||
|
writeln!(output, "{} {} {}", element.x, element.y, color).unwrap();
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
let mut center_file = File::create("plot/centers.dat").unwrap();
|
||||||
|
for (&(center, _, _), color) in centers.iter().zip(&colors) {
|
||||||
|
use std::io::Write;
|
||||||
|
writeln!(center_file, "{} {} {}", center.x, center.y, color).unwrap();
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
Loading…
Reference in New Issue