Clustering wines using K-Means
The aim of this experiment is to apply an Unsupervised machine learning algorithm K-Means clustering to a dataset of wine characteristics and group wines into clusters based on their similarities.
The aim of this experiment is to apply an Unsupervised machine learning algorithm K-Means clustering to a dataset of wine characteristics and group wines into clusters based on their similarities.