t-SNE: Financial Centers

Example 3: World Financial Centers (Multi-feature)

Cities positioned by financial characteristics, population, GDP, and timezone. Color by region to see geographic patterns.

Feature Selection for Distance Calculation:

Available Features:

Selected Features:

Rescaling: (Changes which variables determine similarity)

Color nodes by:

Perplexity: 5.0 (5-100, typically 15-50)

Learning Rate: 100.0 (10-1000, typically 100-500)

Convergence threshold:

Max iterations:

Early exaggeration iters:

Exaggeration factor:

Iteration: 0
         
Movement (last iteration): 0.000
Status: Ready

Aspect Ratio: 0.6

Zoom: 1.0x

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: cities_data.csv

t-SNE Examples This page was created using JSPlots.jl v0.6.3.