```
library(mclust)
library(tidyverse)
library(patchwork)
```

# Model-based clustering using mclust

# Introduction

In this practical, we will apply model-based clustering on a data set of bank note measurements.

We use the following packages:

The data is built into the `mclust`

package and can be loaded as a `tibble`

by running the following code:

`<- as_tibble(banknote) df `

# Data exploration

# Univariate model-based clustering

# Multivariate model-based clustering

We will now use all available information in the data set to cluster the observations.