---
id: 5e8f2f13c4cdbe86b5c72d8f
title: 'Core Learning Algorithms: Clustering'
challengeType: 11
videoId: 8sqIaHc9Cz4
bilibiliIds:
  aid: 720567137
  bvid: BV1BQ4y1r7UY
  cid: 409129005
dashedName: core-learning-algorithms-clustering
---

# --question--

## --text--

Which of the following steps is **not** part of the K-Means algorithm?

## --answers--

Randomly pick K points to place K centeroids.

---

Assign each K point to the closest K centeroid.

---

Move each K centeroid into the middle of all of their data points.

---

Shuffle the K points so they're redistributed randomly.

---

Reassign each K point to the closest K centeroid.

## --video-solution--

4

