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Interactive Explorer
Ready
Parameters
Adjust clustering parameters in real-time
Algorithm
Number of Clusters: 3
Max Iterations: 10
Data Subset: 100%
X-Axis
Y-Axis
Show Centroids
Auto-run
Run
Live Metrics
Silhouette Score
0.551
Iterations
7
Data Points
50
Clusters
3
Interactive Clustering Visualization
Real-time clustering results with kmeans algorithm (3 clusters)
Optimal Clusters Analysis
Silhouette score for different cluster counts
Cluster Statistics
Current clustering breakdown
Cluster 1
15 customers
Avg Income: $31K
Avg Spending: 37
Cluster 2
12 customers
Avg Income: $25K
Avg Spending: 10
Cluster 3
23 customers
Avg Income: $26K
Avg Spending: 79
Quick Experiments
Try these preset configurations
Simple Segmentation
2 clusters, high precision
Detailed Analysis
5 clusters, subset data
Fast Prototype
Quick clustering test
Built with
v0