Three Gaussian Clusters With Equal Standard Deviations

Three gaussian clusters with equal size and bandwidth from "How to Use t-SNE Effectively".

Usage

three_clusters_data(n, dim = 50)

Arguments

n

Number of points per gaussian.

dim

Dimension of the gaussians.

Value

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

Details

Creates a dataset consisting of three symmetric gaussian distributions with equal number of points and standard deviation 1. The clusters are arranged in a line, with the second cluster 10 units from the first, and the third cluster 50 units from the first. Points are colored depending on which cluster they belong to.

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(), ortho_curve(), random_circle_cluster_data(), random_circle_data(), random_jump(), random_walk(), simplex_data(), subset_clusters_data(), trefoil_data(), two_clusters_data(), two_different_clusters_data(), unlink_data()

Examples

df <- three_clusters_data(n = 50, dim = 2)