Clustering Explorer App

Interactive K-means clustering visualization with adjustable parameters

Number of Clusters (K)

4

Iterations: 0/10

How it works

K-means clustering is an iterative algorithm that groups similar data points into clusters. The visualization shows:

Data points colored by their cluster assignment
White circles representing cluster centroids
Animated updates as centroids move to optimal positions

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