Ball Data Set

Simulation data randomly sampled from the entire volume of a ball of the specified dimension (by default, 3-dimensional).

Usage

ball(n = 1000, rad = 1, ndim = 3)

Arguments

n

Number of points to create.

rad

Radius of the ball.

ndim

Dimension of the ball.

Value

Data frame with x, y, z columns containing the coordinates of the points and color the RGB color.

Details

Creates a series of points sampled from an ndim-dimensional spherical volume. Points are colored based on the square of their distance from the origin.

References

A dataset like this was used in: Lee, J. A., Peluffo-Ordo'nez, D. H., & Verleysen, M. (2015). Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing, 169, 246-261.