iris

Citation Author(s):
R.A.Fisher
Submitted by:
Fan Min
Last updated:
Thu, 11/08/2018 - 10:34
DOI:
10.21227/rz7n-kj20
License:
Creative Commons Attribution
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Categories:
Computational Intelligence
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Abstract 

 

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.

 

Instructions: 

The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.

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