Artificial Iris for photonic classification

A dataset derived from the Iris dataset used for photonic classification experiment. Generated via sampling of the normal distributions defined by principal components of the original Iris dataset. Four features and three classes, each of the three classes has 5000 samples.

Data and Resources

Cite this as

Philip Rübeling, Oleksandr Marchukov, Michael Kues (2025). Artificial Iris for photonic classification [Data set]. LUIS. https://doi.org/10.25835/23nz0udr
Retrieved: 07:06 16 May 2026 (UTC)

Additional Info

Field Value
Author Philip Rübeling, Oleksandr Marchukov, Michael Kues
Maintainer Oleksandr Marchukov
Last Updated May 7, 2025, 10:55 (UTC)
Created May 7, 2025, 10:47 (UTC)
License Creative Commons Attribution-NonCommercial 3.0
Dataset Size 446.1 KByte
Number of classes 3
Number of features 4
Number of samples 15000