This image illustrates the K-Nearest Neighbors classification algorithm, showing how different values of affect classification results. Red stars represent Class A data points, green triangles represent Class B data points, and the yellow square with a question mark is a new instance to be classified. The dashed circles show the and neighborhoods around the instance.
#import "@preview/cetz:0.3.4": canvas, draw
#import draw: line, content, circle, polygon
#set page(width: auto, height: auto, margin: 8pt)
#set text(weight: "bold")
// Draw a star directly with lines
#let draw-star(pos, size: 0.3, fill: red) = {
let outer-r = size
let inner-r = size * 0.4
let points = ()
for idx in range(10) {
let angle = idx * 36deg
let radius = if calc.rem(idx, 2) == 0 { outer-r } else { inner-r }
points.push((
pos.at(0) + radius * calc.cos(angle),
pos.at(1) + radius * calc.sin(angle),
))
}
// Draw connected lines to form a star
for idx in range(10) {
let next = if idx == 9 { 0 } else { idx + 1 }
line(
points.at(idx),
points.at(next),
stroke: 1.5pt,
fill: fill,
)
}
if fill != none {
line(..points, close: true, stroke: none, fill: fill)
}
}
// Draw a triangle using polygon function
#let draw-triangle(pos, size: 0.275, fill: green) = {
polygon(
pos,
3,
radius: size,
angle: 90deg, // Point up
fill: fill,
stroke: .5pt,
)
}
#canvas({
// Set up coordinate system
let arrow-style = (mark: (end: "stealth", fill: black, scale: 0.7))
let axis-length = 6
// Draw axes
line(
(0, 0),
(axis-length, 0),
..arrow-style,
name: "x-axis",
)
content((rel: (-0.1, 0.2), to: "x-axis.end"), [$x$ axis], anchor: "south-east")
line((0, 0), (0, axis-length), ..arrow-style, name: "y-axis")
content((rel: (0.2, -0.1), to: "y-axis.end"), [$y$ axis], anchor: "north-west")
// Draw Class A (red stars)
draw-star((1.6, 4.0))
draw-star((1.3, 3.5))
draw-star((2.3, 3.8))
draw-star((1.8, 3.0))
draw-star((1.6, 2.7))
draw-star((2.5, 2.5))
draw-star((2, 2.2))
// Draw Class B (green triangles)
draw-triangle((4.2, 3.5))
draw-triangle((3.6, 2.8))
draw-triangle((3.4, 2.2))
draw-triangle((4.0, 2.2))
draw-triangle((5.2, 2.5))
draw-triangle((4.7, 3.5))
draw-triangle((4, 1.5))
draw-triangle((4.7, 1.8))
// Draw the new example to classify (yellow square with question mark)
content(
(3, 2.5),
(rel: (0.4, 0.4)),
align(center, text(baseline: 1.5pt)[?]),
anchor: "center",
frame: "rect",
fill: yellow,
padding: 1pt,
name: "new-example",
)
// Draw the k=3 and k=7 circles centered at the new example
circle(
"new-example.center",
radius: 0.8,
stroke: (dash: "dashed"),
name: "k3-circle",
)
content((rel: (0, -0.3), to: "k3-circle.south"), $k = 3$, anchor: "north")
circle(
"new-example.center",
radius: 2.0,
stroke: (dash: "dashed"),
name: "k7-circle",
)
content((rel: (0, -0.3), to: "k7-circle.south"), $k = 7$, anchor: "north")
// Add class labels in the upper right corner
content((5.4, 4.8), text(fill: red, size: 12pt)[Class A])
content((5.4, 4.3), text(fill: green, size: 12pt)[Class B])
// Add arrow pointing to the new example
content((4, 5.5), [New example\ to classify], name: "new-example-label")
line(
"new-example-label",
"new-example.north",
stroke: 0.6pt,
mark: (end: "stealth", fill: black, offset: 0.05),
)
})