Lifetime Clustering Live Demo

LTC — Lifetime Clustering (WASM demo)

Run the Lifetime Clustering (LTC) algorithm live in your browser via WebAssembly on 2D and 3D datasets from the Gagolewski Clustering Benchmark. All datasets have been normalized to the range [0, 1]. Use the arrow keys (or drag the slider) to increase the radius parameter and observe how the metrics, lifetime, and cluster skeleton change in real time.

0 First quartile: usually the informative range √d

Metrics

Adjusted Rand index
V-measure
Homogeneity —Completeness —
Runtime (ms)
Clusters
Noise points
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Lifetime

x/y = point coordinates, z = lifetime, interpolated onto a grid. Drag to rotate.

Cluster skeleton

Connected components of the inner points, before outer points are attached.


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