A multivariate dataset is defined as a set of multiple observations (attributes) associated with different aspects of a phenomenon. In this chapter, we will use a multivariate dataset result of a chemical analysis of wines that grew in three different cultivars from the same area in Italy. The Wine dataset is available in the UC Irvine Machine Learning Repository and can be freely downloaded from the following link:
The dataset includes 13 features with no missing data and all the features are numerical or real values.
Alkalinity of ash
OD280/OD315 of diluted wines
The first five...