K-Means Clustering - Neural Network Playgrounds

Number of Clusters (K): 3

Data Pattern

Number of Points: 100

Iteration 0

Inertia (WCSS) -

Status Ready

Initialize random centroids

Assign points to nearest centroid

Update centroid positions

Check for convergence

K-Means partitions data into K clusters by minimizing within-cluster variance. Click on canvas to add points manually!