t-SNE: Asset Correlation Distances

Example 2: Asset Correlation Clusters (Distance Matrix)

Assets are positioned based on correlation distances. Highly correlated assets should cluster together. The underlying data has 5 distinct correlation clusters.

(5-100, typically 15-50)
(10-1000, typically 100-500)
Iteration: 0
Movement (last iteration): 0.000
Status: Ready
Tip: Drag nodes to manually reposition. "Run to Convergence" uses early exaggeration for the configured number of iterations; "Step (small)" never uses exaggeration; "Exaggerated Step" always uses it.

Data: distance_data.csv


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