Dimensionality Reduction

Running algorithm...

Dimensionality Reduction

Visualizing high-dimensional data in 3D & 2D

Algorithm Settings

Perplexity: 30

Learning Rate (ε): 10

N Neighbors: 15

Min Distance: 0.10

PCA is a deterministic algorithm with no hyperparameters to tune.

Shows the first 3 dimensions of the original high-dimensional data.

Visualization

Show Neighbors

Display Settings

Display Mode

Point/Image Size: 1.0

Animation Speed: 1000ms

Dataset

Projection

Dimensions