K-Means
K-Means groups dots by putting them near the closest center point.
What it does
K-Means groups dots by putting them near the closest center point.
Cluster: A group of similar things • Centroid: Middle of a cluster
How it works
- Choose how many groups you want.
- Place center points.
- Move each center to the middle of the dots assigned to it, then repeat.
Uses & Applications
- A store can group shoppers with similar habits.
- A classroom app can group students by the topics they need to practice.
- A photo app can group similar colors in an image.
In short
It finds hidden types of items in a big list.
Try it yourself
Make groups of nearby dots
Imagine making teams so that each person stands close to their team leader. Big dots are the leaders.
Your turn
Change one setting at a time. Reset example puts everything back.
Assign points and update centers
Step 1Why this happens