iris_uci {hclusteasy} | R Documentation |
Iris Dataset
Description
This dataset contains 150 flower samples distributed among 3 iris species classes: Setosa, Versicolor, and Virginica. It consists of 5 columns, including 4 attributes measured in centimeters: sepal length and width, and petal length and width, along with a column indicating the iris species. This dataset was introduced by Ronald A. Fisher in 1936 in his classic paper on linear discriminant analysis.
Usage
data("iris_uci")
Source
References
Fisher, R. A. (1988). Iris. UCI Machine Learning Repository. doi:10.24432/C56C76.
[Package hclusteasy version 0.1.0 Index]