Iris dataset

doi:doi:10.57702/00i3hgmp

Iris dataset

The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples from three species of iris flowers (Iris setosa, Iris virginica, and Iris versicolor). Each sample is described by 4 features: the length and the width of the sepals and petals.

BibTex:

@dataset{Jianming_Yi_and_Kalyani_Suresh_and_Ali_Moghiseh_and_Norbert_Wehn_2024,
    abstract = {The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples from three species of iris flowers (Iris setosa, Iris virginica, and Iris versicolor). Each sample is described by 4 features: the length and the width of the sepals and petals.},
    author = {Jianming Yi and Kalyani Suresh and Ali Moghiseh and Norbert Wehn},
    doi = {10.57702/00i3hgmp},
    institution = {No Organization},
    keyword = {'Classification', 'Clustering', 'Feature Importance', 'Feature extraction', 'Generative models', 'Iris', 'Iris Flowers', 'Iris dataset', 'Iris flowers', 'Machine Learning', 'Machine learning', 'Multiclass', 'Multiclass Classification', 'Multiclass classification', 'Multivariate Data', 'PCA', 'Regression', 'classification', 'data science', 'flowers', 'iris', 'iris dataset', 'iris flowers', 'iris plant species', 'machine learning', 'multiclass', 'multiclass classification', 'petal length', 'petal width', 'sepal length', 'sepal width'},
    month = {dec},
    publisher = {TIB},
    title = {Iris dataset},
    url = {https://service.tib.eu/ldmservice/dataset/iris-dataset},
    year = {2024}
}