wine_uci: Wine Dataset

In hclusteasy: Determining Hierarchical Clustering Easily

Wine Dataset

Description

It consists of a dataset containing 178 wine samples distributed into 3 distinct classes. It has 14 columns, comprising 13 chemical attributes such as alcohol content, malic acid amount, ash, alkalinity of ash, magnesium, phenols, flavonoids, proanthocyanins, color intensity, hue, OD280/OD315 ratio, and proline, along with one column indicating the wine class. This dataset was introduced by Forina et al. in 1991 in a study on the chemical analysis of wines grown in the regions of Italy.

Usage

data("wine_uci")

Source

https://archive.ics.uci.edu

References

Aeberhard, Stefan and Forina, M. (1991). Wine. UCI Machine Learning Repository. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C5PC7J")}.

hclusteasy documentation built on June 22, 2024, 9:48 a.m.