make_moons: Make two interleaving half-circles

In elbamos/clusteringdatasets: Datasets useful for testing clustering algorithms

Description

Imitation of the Python sklearn.datasets.make_moons function.

Usage

make_moons(n_samples = 100, shuffle = TRUE, noise = NA)

Arguments

n_samples	Number of points (will be divided equally among the circles)
shuffle	Whether to randomize the sequence
noise	Standard deviation of Gaussian noise applied to point positions

Value

a list containining samples, a matrix of points, and labels, which identifies the circle from which each point came.

elbamos/clusteringdatasets documentation built on May 16, 2019, 2:58 a.m.