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6 functions for generating artificial datasets

version 1.0.0.0 (39.9 KB) by Jeroen Kools
6 parameterized functions that generate distinct 2D datasets for Machine Learning purposes.

8 Downloads

Updated 23 Apr 2013

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* twospirals.m generates two classes representing two spirals
* clusterincluster.m generates two circular classes
* corners.m generates four classes, each corresponding to a corner shape pointing towards the center
* halfkernel.m generates two half ellipses, one inside the other
* crescentfullmoon.m generates one circular class and one larger crescent folded around it.
* outlier.m produces 2 large circular classes, and 2 smaller classes of outliers.

Inspired by the following StackOverflow question:
http://stackoverflow.com/questions/16146599/create-artificial-data-in-matlab

Cite As

Jeroen Kools (2021). 6 functions for generating artificial datasets (https://www.mathworks.com/matlabcentral/fileexchange/41459-6-functions-for-generating-artificial-datasets), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (8)

Eebs Ebola

Mahmudul Hasan

Thanks a lot. It's really helpful. I used the data from twospirals.m to train a model. Is there any way I can get some test data to check the performance of my model?

Thanks for this, its very helpful

Alaa Othman

Good work. Thanks

Xenya

I have a 2014a matlab, which has randi, not randintSo had to apply this patch to clusterincluster to get it going:
z=which('randint');
if ~isempty(z)
dist1 = r1 + randint(N1,1,3)/3 * r1 * w1;
else
dist1 = r1 + randi(3,[N1,1])/3 * r1 * w1;
end

Nejc Ilc

Surya Teja Chavali

Thanks a whole lot!

chang hsiung

thanks a lot, this will be very useful.

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: DBSCAN

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