The Iris flower data set or Fisher's Iris data set is a multivariate data set .The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish the species from each other.


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R.A.Fisher [1] R.A.Fisher, "iris", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/rz7n-kj20. Accessed: Sep. 18, 2020.
doi = {10.21227/rz7n-kj20},
url = {http://dx.doi.org/10.21227/rz7n-kj20},
author = {R.A.Fisher },
publisher = {IEEE Dataport},
title = {iris},
year = {2018} }
T1 - iris
AU - R.A.Fisher
PY - 2018
PB - IEEE Dataport
UR - 10.21227/rz7n-kj20
ER -
R.A.Fisher. (2018). iris. IEEE Dataport. http://dx.doi.org/10.21227/rz7n-kj20
R.A.Fisher, 2018. iris. Available at: http://dx.doi.org/10.21227/rz7n-kj20.
R.A.Fisher. (2018). "iris." Web.
1. R.A.Fisher. iris [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/rz7n-kj20
R.A.Fisher. "iris." doi: 10.21227/rz7n-kj20