wine {datasetsICR}

wine dataset

Description

Chemical analysis of wines grown in the same region in Italy but derived from 3 different cultivars.

Usage

data(wine)

Format

A data.frame with 178 rows on 14 variables (including 1 classification variable).

Details

The dataset includes 178 Italian wines characterized by 13 constituents (quantitative variables). The dataset contains an additional variable, Class, distinguishing the wines in 3 groups according to the cultivar. The quantitative variables are Class, Alcohol, Malic acid, Ash, Alcalinity of ash, Magnesium, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280/OD315 of diluted wines and Proline.

Author(s)

Paolo Giordani, Maria Brigida Ferraro, Francesca Martella

Source

http://archive.ics.uci.edu/ml

References

Dua, D., Graff, C.: UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA (2019)
Giordani, P., Ferraro, M.B., Martella, F.: An Introduction to Clustering with R. Springer, Singapore (2020)

Examples

data(wine)
X <- wine[,-1]
class <- wine[,1]