Embedding projector - visualization of high-dimensional data

Fetching projector config...
DATA
Use categorical coloring
Load Publish Download Label
Sphereize data
Checkpoint:
Metadata:
UMAP
t-SNE
PCA
Custom
2D
3D
15

For faster results, the data will be sampled down to 5,000 points.

Learn more about UMAP.

2D
3D
30
10
0

Iteration: 0

For faster results, the data will be sampled down to 10,000 points.

How to use t-SNE effectively.

PCA is approximate.

Total variance
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Points: Loading...
Dimension: Loading...
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