ortho_curve: Mutually Orthogonal Step Data

In jlmelville/snedata: SNE Simulation Dataset Functions

Mutually Orthogonal Step Data

Description

Points related by mutually orthogonal steps, from "How to Use t-SNE Effectively".

Usage

ortho_curve(n)

Arguments

n	Number of points to sample.

Details

Creates N points from an N-dimensional space, where each point is related by a mutually orthogonal step. Coordinates from a triangular matrix, where the coordinates in the triangle are one, and are zero everywhere else. Points are linearly mapped from their row id to a rainbow color scheme.

Value

Data frame with coordinates in the X1, X2 ... Xn columns, and color in the color column.

References

http://distill.pub/2016/misread-tsne/

See Also

Other distill functions: circle_data(), cube_data(), gaussian_data(), grid_data(), link_data(), long_cluster_data(), long_gaussian_data(), random_circle_cluster_data(), random_circle_data(), random_jump(), random_walk(), simplex_data(), subset_clusters_data(), three_clusters_data(), trefoil_data(), two_clusters_data(), two_different_clusters_data(), unlink_data()

Examples

df <- ortho_curve(n = 50)

jlmelville/snedata documentation built on March 5, 2025, 12:22 p.m.