The Clustering Playground

K-Means Intuition

• Goal: Partition data into K clusters to minimize the variance within each cluster.
• Step 1 (Assignment): Assign each point to the nearest centroid.
• Step 2 (Update): Move centroids to the average position of their assigned points.
• Interactive: Click on the canvas to add your own data points!