R: Moons Data

moons {dbscan} | R Documentation

## Moons Data

### Description

Contains 100 2-d points, half of which are contained in two moons or "blobs"" (25 points each blob), and the other half in asymmetric facing crescent shapes. The three shapes are all linearly separable.

### Usage

    data("moons")

### Format

A data frame with 100 observations on the following 2 variables.

`X`

  a numeric vector

`Y`

  a numeric vector

### Details

This data was generated with the following Python commands using the SciKit-Learn library. dontrun import sklearn.datasets as data moons, _ = data.make_moons(n_samples=50, noise=0.05) blobs, _ = data.make_blobs(n_samples=50, centers=[(-0.75,2.25), (1.0, 2.0)], cluster_std=0.25) test_data = np.vstack([moons, blobs])

### Source

See the HDBSCAN notebook from github documentation: http://hdbscan.readthedocs.io/en/latest/how_hdbscan_works.html

### References

1. Pedregosa, Fabian, Gael Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel et al. "Scikit-learn: Machine learning in Python." Journal of Machine Learning Research 12, no. Oct (2011): 2825-2830.

### Examples

    data(moons)
    plot(moons, pch=20)

[Package dbscan version 1.1-3 Index]