sklearn.datasets.make_moons

sklearn.datasets.make_moons(n_samples=100, shuffle=True, noise=None, random_state=None)

Make two interleaving half circles

A simple toy dataset to visualize clustering and classification algorithms.

Parameters:

n_samples : int, optional (default=100)

The total number of points generated.

shuffle : bool, optional (default=True)

Whether to shuffle the samples.

noise : double or None (default=None)

Standard deviation of Gaussian noise added to the data.

Read more in the :ref:`User Guide <sample_generators>`. :

Returns:

X : array of shape [n_samples, 2]

The generated samples.

y : array of shape [n_samples]

The integer labels (0 or 1) for class membership of each sample.

Examples using sklearn.datasets.make_moons

Classifier comparison

Comparing different clustering algorithms on toy datasets