iris_uci: Iris Dataset
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iris_uci 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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C56C76")}.
hclusteasy documentation built on June 22, 2024, 9:48 a.m.
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| iris_uci | 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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C56C76")}.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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