Added Euclidean Distance

kausthub-kannan · kausthub-kannan · commit aa1e1ae7049f · 2023-10-03T17:00:11.000Z
diff --git a/Maths/EuclideanDistance.js b/Maths/EuclideanDistance.js
@@ -0,0 +1,13 @@
+// Wikipedia: https://en.wikipedia.org/wiki/Euclidean_distance
+
+const EuclideanDistance = (vector1, vector2) => {
+  let sumOfSquares = 0
+
+  for (let i = 0; i < vector1.length; i++) {
+    sumOfSquares += Math.pow(vector1[i] - vector2[i], 2)
+  }
+
+  return Math.sqrt(sumOfSquares)
+}
+
+export { EuclideanDistance }
diff --git a/Maths/test/EuclideanDistance.test.js b/Maths/test/EuclideanDistance.test.js
@@ -0,0 +1,19 @@
+import { EuclideanDistance } from '../EuclideanDistance.js'
+
+describe('EuclideanDistance', () => {
+  it('should calculate the distance correctly for 2D vectors', () => {
+    expect(EuclideanDistance([0, 0], [2, 2])).toBeCloseTo(2.8284271247461903, 10)
+  })
+
+  it('should calculate the distance correctly for 3D vectors', () => {
+    expect(EuclideanDistance([0, 0, 0], [2, 2, 2])).toBeCloseTo(3.4641016151377544, 10)
+  })
+
+  it('should calculate the distance correctly for 4D vectors', () => {
+    expect(EuclideanDistance([1, 2, 3, 4], [5, 6, 7, 8])).toBeCloseTo(8.0, 10)
+  })
+
+  it('should calculate the distance correctly for different 2D vectors', () => {
+    expect(EuclideanDistance([1, 2], [4, 6])).toBeCloseTo(5.0, 10)
+  })
+})
