gaussian_data: Symmetric Gaussian

In jlmelville/snedata: SNE Simulation Dataset Functions

Symmetric Gaussian

Description

Symmetric gaussian data from "How to Use t-SNE Effectively".

Usage

gaussian_data(n, dim, sd = 1, color = NULL)

Arguments

n	Number of points.
dim	Dimension of the gaussian.
sd	Standard deviation.
color	Color to assign to the data points.

Details

Creates a randomly-sampled symmetric gaussian dataset of the specified dimension.

Value

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

References

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

See Also

Other distill functions: circle_data(), cube_data(), grid_data(), link_data(), long_cluster_data(), long_gaussian_data(), ortho_curve(), 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 <- gaussian_data(n = 50, dim = 2)

jlmelville/snedata documentation built on Jan. 13, 2024, 2:06 a.m.