Chemical analysis of wines grown in the same region in Italy but derived from 3 different cultivars.
A data.frame with 178 rows on 14 variables (including 1 classification variable).
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
Alcalinity of ash,
OD280/OD315 of diluted wines and
Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
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)
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